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Abstract

Senior academic researchers and research administrators whose careers have spanned decades have witnessed a monotonic trend in the growth of bureaucratic rules and structures pertaining to research policy. The increase in administrative requirements takes many forms, some directly related to research and others tangentially related. While the onslaught of rules has increased administrative burdens, not all of these requirements are red tape; many are useful and even vital. But when taken together, the amount of administrative procedure and documentation associated with research conduct and administration becomes crushing. Others have well documented the bureaucratization of university research policy and administration. Our primary purpose is to explain why rules and regulations and the bureaucratic structures supporting them continue to grow, extracting an ever-greater toll on time and resources available for actual research. Absent an explanation of the growth of administrative burden, it is not possible to provide valid assessment of the effectiveness of rules and regulations pertaining to research policy. We examine the problem from the lens of a well-developed theory of organizational red tape specifically, applying it specifically to the problem of research administration red tape. The theory suggests that the increase in research policy bureaucratization can be explained chiefly by three different factors: crisis response, pressures for bureaucratic over-control, and the use of research policy for side-payments, both social side-payments (to achieve social goals not directly related to research) and political side-payments (conferring factor with political supporters by proving rules or policy symbols favored by them). To help elaborate the theory as well as to provide context, we provide case illustrations of ranging from the vitally important (research misconduct) to mundane bureaucratic requirements (standardization of required biosketches).
Bureaucratization in
Academic Research Policy:
What Causes It?
Full text available at: http://dx.doi.org/10.1561/110.00000002
Full text available at: http://dx.doi.org/10.1561/110.00000002
Bureaucratization in Academic
Research Policy: What Causes It?
Barry Bozeman
Center for Organization Research and Design
Arizona State University
USA
bbozeman@asu.edu
Jiwon Jung
Center for Organization Research and Design
Arizona State University
USA
jiwon.jung@asu.edu
Boston — Delft
Full text available at: http://dx.doi.org/10.1561/110.00000002
Annals of Science and Technology Policy
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The preferred citation for this publication is
B. Bozeman and J. Jung. Bureaucratization in Academic Research Policy: What
Causes It?. Annals of Science and Technology Policy, vol. 1, no. 2, pp. 133–214, 2017.
ISBN: 978-1-68083-263-1
c
2017 B. Bozeman and J. Jung
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Full text available at: http://dx.doi.org/10.1561/110.00000002
Annals of Science and Technology Policy
Volume 1, Issue 2, 2017
Editorial Board
Editor-in-Chief
Albert N. Link
University of North Carolina at Greensboro
United States
Editors
David Audretsch
Indiana University
William Bonvillian
MIT
Barry Bozeman
Arizona State University
Kaye Husbands Fealing
Georgia Institute of Technology
John Hardin
North Carolina Board of Science and Technology
Mariagrazia Squicciarini
OECD
Wolfgang Polt
Joanneum Research Institute
Nicholas Vonortas
The George Washington University
Full text available at: http://dx.doi.org/10.1561/110.00000002
Editorial Scope
Topics
Annals of Science and Technology Policy publishes survey and tutorial articles
in the following topics:
Literature reviews of technology and innovation policies
Historical case studies of technology development and implementation
Institutional histories of technology- and innovation-based organizations
Analyses of policies attendant to technology development and adoption
and diffusion
Studies documenting the adoption and diffusion of technologies and
subsequent consequences
Studies of public and private research partnerships (cross sectional,
over time, or case based)
Assessments and evaluations of specific technology and innovation
policies
Analyses of ecosystems associated with the technology and/or
innovation development
Cross observational (e.g., cross-agency or cross-country) comparisons of
technology and innovation policies
Information for Librarians
Annals of Science and Technology Policy, 2017, Volume 1, 4 issues. ISSN
paper version 2475-1820. ISSN online version 2475-1812. Also available
as a combined paper and online subscription.
Full text available at: http://dx.doi.org/10.1561/110.00000002
Contents
1 Introduction 3
2 Understanding Bureaucratization: The Conceptual Thicket 5
3 Evidence of Bureaucratization and Administrative Burden in
University Research 8
3.1 Findings from the Federal Demonstration Partnership Study 8
3.2
Findings from the Vanderbilt University/Boston Consulting
Group 2015 Study . . . . . . . . . . . . . . . . . . . . . . 9
3.3 Findings from the National Science Board Study . . . . . . 9
3.4 Findings from the Survey of Academic Scientists Project .12
4 Rules and Red Tape Theory: A Lens for Understanding the
Bureaucratization of Research Policy and Administration 16
4.1 The Rule Objective Stage . . . . . . . . . . . . . . . . . . 18
4.2 Rule-Inception Red Tape and its Causes . . . . . . . . . . 19
5 Origins of Bureaucratization: Implications from Theory of
Rules and Red Tape 21
Full text available at: http://dx.doi.org/10.1561/110.00000002
6 Explaining Administrative Burden and Bureaucratization in
Research Grants Policy 23
6.1 Crisis as a Cause of University Research Bureaucratization 25
6.2 Scientific Misconduct as a Case in Point . . . . . . . . . . 26
6.3
Political and Social Side-Payments as a Cause of University
Research Bureaucratization . . . . . . . . . . . . . . . . . 33
6.4
“Research Relevant” Social-side Payments and Administra-
tive Burden: Data Sharing as a Case in Point . . . . . . . 34
6.5
“Research Irrelevant” Social Side-Payments and Adminis-
trative Burden: Multiple Examples . . . . . . . . . . . . . 39
6.6
Political Side-Payments and Administrative Burden: The
Case of Research Earmarking . . . . . . . . . . . . . . . . 40
6.7
Bureaucratic Overlap as a Cause of University Research
Bureaucratization . . . . . . . . . . . . . . . . . . . . . . 44
6.8
Bureaucratic Overlap and Administrative Burden: Multiple
Case Illustrations . . . . . . . . . . . . . . . . . . . . . . 45
7 Conclusions 51
7.1 Reform: Abandon All Hope Ye Who Enter Here? . . . . . 52
7.2 Learning from Red Tape Theory: Next Steps . . . . . . . . 54
Appendices 55
A 1991 to 2013 Federal Regulatory Additions or Changes Per-
taining to University Research Administration 56
B Scientific Misconduct Case Summary 66
Author Biographies 69
Full text available at: http://dx.doi.org/10.1561/110.00000002
Bureaucratization in Academic
Research Policy: What Causes It?
Barry Bozeman1and Jiwon Jung2
1Arizona State University, USA; bbozeman@asu.edu
2Arizona State University, USA; jiwon.jung@asu.edu
ABSTRACT
Senior academic researchers and research administrators
whose careers have spanned decades have witnessed a mono-
tonic trend in the growth of bureaucratic rules and structures
pertaining to research policy. The increase in administrative
requirements takes many forms, some directly related to re-
search and others tangentially related. While the onslaught
of rules has increased administrative burdens, not all of
these requirements are red tape; many are useful and even
vital. But when taken together, the amount of administra-
tive procedure and documentation associated with research
conduct and administration becomes crushing.
Others have well documented the bureaucratization of uni-
versity research policy and administration. Our primary
purpose is to explain why rules and regulations and the
bureaucratic structures supporting them continue to grow,
extracting an ever-greater toll on time and resources avail-
able for actual research. Absent an explanation of the growth
of administrative burden, it is not possible to provide valid
assessment of the effectiveness of rules and regulations per-
taining to research policy. We examine the problem from
the lens of a well-developed theory of organizational red
tape specifically, applying it specifically to the problem of
Barry Bozeman and Jiwon Jung (2017), “Bureaucratization in Academic Research
Policy: What Causes It?”, Annals of Science and Technology Policy: Vol. 1, No. 2,
pp 133–214. DOI: 10.1561/110.00000002.
Full text available at: http://dx.doi.org/10.1561/110.00000002
2
research administration red tape. The theory suggests that
the increase in research policy bureaucratization can be
explained chiefly by three different factors: crisis response,
pressures for bureaucratic over-control, and the use of re-
search policy for side-payments, both social side-payments
(to achieve social goals not directly related to research) and
political side-payments (conferring factor with political sup-
porters by proving rules or policy symbols favored by them).
To help elaborate the theory as well as to provide context,
we provide case illustrations of ranging from the vitally
important (research misconduct) to mundane bureaucratic
requirements (standardization of required biosketches).
Full text available at: http://dx.doi.org/10.1561/110.00000002
1
Introduction
In the U.S. and throughout most of the world, university research be-
comes increasingly bureaucratized (e.g. Schneider et al.,2014; National
Science Board, 2014). Along with increasing dependence on research
funding and increased expectations for more and more research-funds-
per-academic-researcher, the demands of political bureaucracy continue
to grow, reducing the proportions of time devoted to science and increas-
ing the amount of time demanded for administration, especially admin-
istrative assurances. The increasing bureaucratization and compliance
burden is not simply a matter speculation. In the United States, several
authoritative studies (e.g. American Council of Education, ACE, 2015)
have recently examined university administrative burden, including
specifically burdens associated with research policy and administration
(e.g. Decker et al.,2007; National Science Board, 2014).
Since no one seems to be rushing to the defense of more and more
rules, since no one is in the business of self-consciously creating red tape,
since nearly everyone acknowledges that it is important to devote as
many resources as possible to research and innovation and to not siphon
off funds unnecessarily from that enterprise we are left to contemplate
this question:
3
Full text available at: http://dx.doi.org/10.1561/110.00000002
4Introduction
What explains the continual growth in rules and regulations
surrounding publicly funded research?
This question is the chief focus of the current paper and, remarkably,
there is almost no scholarly attention devoted to answering this question.
There have been many efforts to document the growth of rules and
administrative burden in research policy, blue ribbon panels have been
convened and made recommendations about reducing rules and their
costs, but the causes of this onslaught have generated little speculation,
much less systematic explanation. Our concern here is to explain the
reasons of bureaucratization. In doing so, we rely on theory and research
about red tape and bureaucratic pathology.
The organization of the paper is as follows:
In the next section we provide a brief, necessary preamble to
organizational analysis- a review and conceptual demarcation of
bureaucratization, red tape and formalization.
After clarifying closely related concepts, we review some of the
studies documenting the bureaucratization of research policy and
administration in the U.S. and the responses to the bureaucrati-
zation, both institutional responses and responses and attitudes
of individual investigators.
A next section introduces theory of rules and red tape, the theory-
base we use as a lens to asking the study’s key question concerning
the growth of rules in research policy and administration.
After providing a theory base, we turn to the core question of
the paper: What explains the continual growth in rules and regu-
lations surrounding publicly funded research? Here we provide a
conceptual model.
Finally, we examine key elements of our conceptual model in terms
of a variety of government rules and procedures promulgated,
ones that almost always have good intentions but, when taken
together, vastly increase administrative burden while only rarely
Full text available at: http://dx.doi.org/10.1561/110.00000002
5
demonstrating the social value purchased by the administrative
burden.
Full text available at: http://dx.doi.org/10.1561/110.00000002
References
ACE. 2015. “Recalibrating Regulation of Colleges and Universities:
Report of the Task Force on Federal Regulation of Higher Education”.
Available at: http://www.help.senate.gov/imo/media/Regulations_
Task_Force_Report_2015_FINAL.pdf.
Alsheikh-Ali, A. A., W. Qureshi, M. H. Al-Mallah, and J. P. Ioannidis.
2011. “Public availability of published research data in high-impact
journals”. PloS One. 6(9): e24357.
Amacher, R. C., R. D. Tollison, and T. D. Willett. 1975. “A budget
size in a democracy: A review of the arguments”. Public Finance
Review. 3(2): 99–122.
Arzberger, P., P. Schroeder, A. Beaulieu, G. Bowker, K. Casey, L.
Laaksonen, and P. Wouters. 2004. “Promoting access to public
research data for scientific, economic, and social development.” Data
Science Journal. 3: 135–152.
Berger, P. G. 1993. “Explicit and implicit tax effects of the R & D tax
credit”. Journal of Accounting Research. 31(2): 131–171.
Berliner, D. C. and B. J. Biddle. 1995. The Manufactured Crisis: Myths,
Fraud, and the Attack on America’s Public Schools. Redding, MA:
Addison-Wesley Publishing Company.
Bledsoe, C. H., B. Sherin, A. G. Galinsky, and N. M. Headley. 2007.
“Regulating creativity: Research and survival in the IRB iron cage”.
Northwestern University Law Review. 101(2): 593–641.
70
Full text available at: http://dx.doi.org/10.1561/110.00000002
References 71
Blumenstyk, G. 2015. “The search for Vanderbilt’s elusive red-tape
study. The Chronicle of Higher Education”. Available at: http://
chronicle.com/article/The-Search-for-Vanderbilt-s/231807.
Boardman, P. C. and E. A. Corley. 2008. “University research centers
and the composition of research collaborations”. Research Policy.
37(5): 900–913.
Boardman, P. C. and B. L. Ponomariov. 2007. “Reward systems and
NSF university research centers: The impact of tenure on university
scientists’ valuation of applied and commercially relevant research”.
The Journal of Higher Education. 78(1): 51–70.
Boardman, P. C. and B. L. Ponomariov. 2014. “Management knowledge
and the organization of team science in university research centers”.
The Journal of Technology Transfer. 39(1): 75–92.
Bouville, M. 2008. “Crime and punishment in scientific research. Cornell
University Library.” Available at: https:/ / arxiv .org/ftp / arxiv /
papers/0803/0803.4058.pdf .
Bozeman, B. 1993. “A theory of government “red tape””. Journal of
Public Administration Research and Theory. 3(3): 273–304.
Bozeman, B. 2000. Bureaucracy and Red Tape. Upper Saddle River, NJ:
Prentice Hall.
Bozeman, B. 2012. “Multidimensional red tape: A theory coda”. Inter-
national Public Management Journal. 15(3): 245–265.
Bozeman, B. and D. M. Anderson. 2014. “Public Policy and the Ori-
gins of Bureaucratic Red Tape: Implications of the Stanford Yacht
Scandal for University Research Administration”. Administration &
Society, 0095399714541265.
Bozeman, B., D. Fay, and C. P. Slade. 2013. “Research collaboration
in universities and academic entrepreneurship: the-state-of-the-art”.
The Journal of Technology Transfer. 38(1): 1–67.
Bozeman, B. and M. K. Feeney. 2011. Rules and Red Tape: A Prism
for Public Administration Theory and Research. Armonk, NY: ME
Sharpe.
Bozeman, B. and M. Gaughan. 2007. “Impacts of grants and contracts on
academic researchers’ interactions with industry”. Research Policy.
36(5): 694–707.
Full text available at: http://dx.doi.org/10.1561/110.00000002
72 References
Bozeman, B. and M. Gaughan. 2011. “Job satisfaction among univer-
sity faculty: Individual, work, and institutional determinants”. The
Journal of Higher Education. 82(2): 154–186.
Bozeman, B., P. N. Reed, and P. Scott. 1992. “Red tape and task delays
in public and private organizations”. Administration & Society. 24(3):
290–322.
Bozeman, B. and P. Scott. 1996. “Bureaucratic red tape and formaliza-
tion: Untangling conceptual knots”. The American Review of Public
Administration. 26(1): 1–17.
Bozeman, B., C. Slade, and P. Hirsch. 2009. “Understanding bureaucracy
in health science ethics: Toward a better institutional review board”.
American Journal of Public Health. 99(9): 1549–1556.
Brainard, J. 2003. “NIH begins review of studies that were questioned
at a congressional hearing”. The Chronicle of Higher Education.
50(11): A24.
Brewer, G. A. and R. M. Walker. 2010. “The impact of red tape on
governmental performance: An empirical analysis”. Journal of Public
Administration Research and Theory. 20(1): 233–257.
Brown, K. T. 1981. “Indirect costs of federally supported research”.
Science. 212(4493): 411–418.
Bryner, G. C. 1987. “Regulatory Reform in the United States: A Compar-
ative Perspective”. International Review of Administrative Sciences.
53(2): 197–216.
Burris, S. and J. Welsh. 2007. “Regulatory paradox: A review of enforce-
ment letters issued by the Office for Human Research Protection”.
Northwestern University Law Review. 101(2): 643–685.
Campbell, E. G. and E. Bendavid. 2002. “Data-sharing and data-
withholding in genetics and the life sciences: Results of a national
survey of technology transfer officers”. Journal of Health Care Law
and Policy. 6(2): 241–255.
Campos, N. F. and J. B. Nugent. 1999. “Development performance and
the institutions of governance: evidence from East Asia and Latin
America”. World Development. 27(3): 439–452.
Full text available at: http://dx.doi.org/10.1561/110.00000002
References 73
Chun, Y. H. and H. G. Rainey. 2005. “Goal ambiguity and organi-
zational performance in US federal agencies”. Journal of Public
Administration Research and Theory. 15(4): 529–557.
Clemmitt, M. 2006. “Do earmarks lead to waste and corruption?” Avail-
able at: http://library.cqpress.com/cqresearcher/document.php?id=
cqresrre2006061600.CQ Researcher 16(23).
Cohen, D. K., M. F. Cuéìlar, and B. R. Weingast. 2006. “Crisis bureau-
cracy: Homeland security and the political design of legal mandates”.
Stanford Law Review. 59(3): 673–684.
Colby, B. G. 2000. “Cap-and-trade policy challenges: a tale of three
markets”. Land Economics. 76(4): 638–658.
Council of Science Editors. 2012. “3.2 International Models for Re-
sponding to Research Misconduct”. Available at: http : / / www .
councilscienceeditors.org/resource-library/editorial-policies/white-
paper - on - publication - ethics / 3 - 2 - international - models - for -
responding-to-research-misconduct/.
De Figueiredo, J. M., and B. S. Silverman. 2007. “How does the gov-
ernment (want to) fund science?” In: Politics. Ed. by lobbying,
academic earmarks. In P. E. Stephan, and R. G. Ehrenberg. Science
and the University. Madison, WI: University of Wisconsin Press.
Decker, R. S., L. Wimsatt, A. G. Trice, and J. A. Konstan. 2007.
“A Profile of Federal-Grant Administrative Burden among Fed-
eral Demonstration Partnership Faculty: A Report of the Faculty
Standing Committee of the Federal Demonstration Partnership”.
Available at: http://www.iscintelligence.com/archivos_subidos/
usfacultyburden_5.pdf.
DeHart-Davis, L. 2014. “Opening the black box of red tape research”.
Journal of Public Administration Research and Theory. 24(4): 1072–
1076.
Dooley, J. J. and H. M. Kerch. 2000. “Evolving research misconduct
policies and their significance for physical scientists”. Science and
Engineering Ethics. 6(1): 109–121.
Downs, A. 1965. “A theory of bureaucracy”. The American Economic
Review. 55(1/2): 439–446.
Full text available at: http://dx.doi.org/10.1561/110.00000002
74 References
Eisenstadt, S. N. 1959. “Bureaucracy, bureaucratization, and debureau-
cratization.” Administrative Science Quarterly. 4(3): 302–320.
Emanuel, E. J., C. C. Grady, R. A. Crouch, R. K. Lie, F. G. Miller,
and D. D. Wendler. 2011. The Oxford Textbook of Clinical Research
Ethics. New York, NY: Oxford University Press.
Engstrom, E. J. and G. Vanberg. 2010. “Assessing the allocation of
pork: Evidence from congressional earmarks”. American Politics
Research. 38(6): 959–985.
Federer, L. M., Y.
-
L. Lu, D. J. Joubert, J. Welsh, and B. Brandys.
2015. “Biomedical data sharing and reuse: attitudes and practices
of clinical and scientific research staff”. PloS One. 10(6): e0129506.
Feeley, M. M. 2007. “Legality, social research, and the challenge of
institutional review boards”. Law & Society Review. 41(4): 757–776.
Feldmann, M. L. 2005. Do congressional academic earmarks at public
research institutions encourage research productivity? (Unpublished
doctoral dissertation). Ames, IA: Iowa State University.
Fink, S. 2008. “Politics as usual or bringing religion back in? The
influence of parties, institutions, economic interests, and religion
on embryo research laws.” Comparative Political Studies. 41(12):
1631–1656.
Fischer, C. 2003. “Combining rate-based and cap-and-trade emissions
policies”. Climate Policy. 3(sup2): S89–S103.
Fitzgerald, A. M., B. F. Fitzgerald, and K. M. Pappalardo. 2009. “The
future of data policy”. In: The Fourth Paradigm: Data-Intensive Sci-
entific Discovery. Ed. by T. Hey, S. Tansley, and K. Tolle. Redmond,
WA: Microsoft Research. 201–208.
Fowlie, M. and J. M. Perloff. 2013. “Distributing pollution rights in
cap-and-trade programs: Are outcomes independent of allocation?”
Review of Economics and Statistics. 95(5): 1640–1652.
Frank, A. 1958. “Goal ambiguity and conflicting standards: An approach
to the study of organization”. Human Organization. 17(4): 8–13.
Gailmard, S. 2002. “Expertise, subversion, and bureaucratic discretion”.
Journal of Law, Economics, and Organization. 18(2): 536–555.
Full text available at: http://dx.doi.org/10.1561/110.00000002
References 75
GAO. 2008. “Congressional directives: Selected agencies’ processes
for responding to funding instructions”. Available at: https : / /
www .gpo . gov/ fdsys /pkg / GAOREPORTS- GAO - 08- 209 / html/
GAOREPORTS-GAO-08-209.htm. Notice no. GAO-08-209.
Goldman, C. A. and T. Williams. 2000. “Paying for University Research
Facilities and Administration”. Available at: http://files.eric.ed.gov/
fulltext/ED446578.pdf. Santa Monica, CA: RAND.
Goldner, J. A. 1998. “Unending saga of legal controls over scientific
misconduct: A clash of cultures needing resolution”. The American
Jounrnal of Law and Medicine. 24(2/3): 293–343.
Goode, E. 2003. “Scientists Say”. Available at: http://www.nytimes.
com/2003/04/18/national/18GRAN.html. The New York Times,
April 18.
Goodsell, C. T. 2003. The Case for Bureaucracy: A Public Administra-
tion Polemic. Washington D.C.: CQ Press.
Gore, A. 1993. “Creating a Government that Works Better & Costs Less”.
Available at: http://www.nsf.gov/pubs/stis1993/npr93a/npr93a.txt.
Washinton D.C.: National Performance Review (Report No. 93),
September 13.
Gottweis, H. 2002. “Stem cell policies in the United States in Germany:
Between bioethics and regulation”. Policy Studies Journal. 30(4):
444–469.
Hagedoorn, J., A. N. Link, and N. S. Vonortas. 2000. “Research part-
nerships”. Research Policy. 29(4): 567–586.
Hall, R. H. 1963. “The concept of bureaucracy: An empirical assessment”.
American Journal of Sociology. 69(1): 32–40.
Hall, R. H., N. J. Johnson, and J. E. Haas. 1967. “Organizational size,
complexity, and formalization”. American Sociological Review. 32(6):
903–912.
Hansen, S. and K. Moreland. 2004. “The Janus face of research admin-
istration”. Research Management Review. 14(1): 43–53.
Heimer, C. A. and J. Petty. 2010. “Bureaucratic ethics: IRBs and the
legal regulation of human subjects research”. Annual Review of Law
and Social Science. 6: 601–626.
Full text available at: http://dx.doi.org/10.1561/110.00000002
76 References
Hunt, M. 1981. “A Fraud That Shook the World of Science”. Available at:
http://www.nytimes.com/1981/11/01/magazine/a- fraud-that-
shook-the-world-of-science.html?pagewanted=all. The New York
Times, November 1.
Jung, C. S. 2014. “Extending the theory of goal ambiguity to pro-
grams: Examining the relationship between goal ambiguity and
performance”. Public Administration Review. 74(2): 205–219.
Karch, A. 2012. “Vertical diffusion and the policy-making process:
The politics of embryonic stem cell research”. Political Research
Quarterly. 65(1): 48–61.
Keiser, L. R. 1999. “State bureaucratic discretion and the administration
of social welfare programs: The case of social security disability”.
Journal of Public Administration Research and Theory. 9(1): 87–106.
Kennedy, S. and C. Kalin. 2016. “2016 Congressional pig book”. Avail-
able at: http: / /cagw . org/ reporting /pig - book . Citizens Against
Government Waste.
Khademian, A. 2010. “Bankruptcies, bailouts and the banking bureau-
cracy: The Bush agenda and the capacity for crisis”. The Forum.
7(4).
Kutina, K. L., E. A. Bruss, and M. Paich. 1985. “Impact on academic
medical center of reduction in reimbursement of indirect research
costs”. Academic Medicine. 60(9): 669–676.
LaFollette, M. C. 1994. “The politics of research misconduct: Congres-
sional oversight, universities, and science”. The Journal of Higher
Education. 65(3): 261–285.
LaFollette, M. C. 2000. “The evolution of the “scientific misconduct”
issue: An historical overview”. Experimental Biology and Medicine.
224(4): 211–215.
Law, M. T. and J. M. Tonon. 2006. “The strange budgetary politics of
agricultural research earmarks”. Public Budgeting & Finance. 26(3):
1–21.
Lawson, G. 2012. “Painting the Mice”. Available at: https: //www .
ranzcog.edu.au/RANZCOG_SITE/media/DOCMAN-ARCHIVE/
OGWinter2012.pdf. O&G Magazine 14(2): 45–48.
Full text available at: http://dx.doi.org/10.1561/110.00000002
References 77
March, J. G., M. Schulz, and X. Zhou. 2000. The Dynamics of Rules:
Change in Written Organizational Codes. Stanford, CA: Stanford
University Press.
Montagna, P. D. 1968. “Professionalization and bureaucratization in
large professional organizations”. American Journal of Sociology.
74(2): 138–145.
Mowery, D. C., R. R. Nelson, B. N. Sampat, and A. A. Ziedonis.
2001. “The growth of patenting and licensing by US universities: an
assessment of the effects of the Bayh-Dole act of 1980”. Research
Policy. 30(1): 99–119.
MRC. 2012. “MRC policy and guidance on sharing of research data
from population and patient studies medical research council”. Avail-
able at: http://www.mrc.ac.uk/publications/browse/mrc- policy-
and-guidance- on-sharing-of- research-data-from-population- and-
patient-studies/.
National Research Council. 2014. “Improved regulations to protect
human research subjects would reduce burden on IRBs while bet-
ter protecting study participants”. Available at: http : / / www8 .
nationalacademies.org/onpinews/newsitem.aspx?RecordID=18614.
Washington, DC: The National Academies.
National Science Board. 2014. “Reducing investigators’ administrative
workload for federally funded research”. (No. NSB; 14–18) Washing-
ton, D.C.: National Science Board.
NIH. 2002. “Update of PHS 398 instructions and forms”. Available at:
https://grants.nih.gov/grants/guide/notice- files/NOT-OD- 02-
027.html. Notice no. NOT-OD-02-027, January 11.
NIH. 2003. “Final NIH statement on sharing research data”. Available at:
http : / / grants . nih . gov / grants / guide / notice - files / not - od - 03 -
032.html. Notice no. NOT-OD-03-032, February 26.
NIH. 2007. “Guidance for developing data-sharing plans for GWAS”.
Available at: https://gds.nih.gov/pdf/gwas_data_sharing_plan.
pdf. (Genome-Wide Association Studies), November 13.
Full text available at: http://dx.doi.org/10.1561/110.00000002
78 References
NIH. 2009a. “Amendment to the instructions for Ruth L. Kirschtein
National Research Service Award (NRSA) institutional research
training grant applications and other research training and research
education grant applications using Form PHS 398 fillable data
tables”. Available at: http://grants.nih.gov/grants/guide/notice-
files/NOT-OD-09-135.html. Notice no. NOT-OD-09-135, August
21.
NIH. 2009b. “Update on the requierement for instruction in the re-
ponsible conduct of research”. Available at: http : / / grants . nih .
gov/grants/guide/notice-files/NOT- OD-10-019.html. Notice no.
NOT-OD-10-019, November 24.
NIH. 2010. “Grants & funding: Research integrity”. From January 15,
2016, available at: https://grants.nih.gov/grants/research_integrity/
research_misconduct.htm. August 25.
NIH. 2013. “Now available: PHS 398 application forms and instructions
for application due dates on or after September 25, 2013 and updated
application guides for electronic application forms.” Available at:
http: //grants.nih. gov/grants/ guide / notice- files/NOT-OD- 13 -
091.html. Notice no. NOT-OD-13-091, July 26.
NIH. 2014a. “Implementation of the NIH genomic data sharing policy
for NIH grant applications and awards”. Available at: http://grants.
nih.gov/grants/guide/notice-files/NOT-OD-14-111.html. Notice no.
NOT-OD-14-111, August 27.
NIH. 2014b. “INIH genomic data sharing policy”. Available at: http:
//grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html.
Notice no. NOT-OD-14-111, August 27.
NIH. 2014c. “Ploting modified NIH biosketches”. Available at: http:
//grants.nih.gov/grants/guide/notice-files/NOT-OD-14-091.html.
Notice no. NOT-OD-14-091, May 16.
NIH. 2015a. “How to apply - application guide”. Available at: http:
//grants.nih.gov/grants/funding/424/index.htm. February 4, 2016.
NIH. 2015b. “NIH & AHRQ announce transition to new research training
table formats for 2016 and upcoming release of the xTRACT system”.
Available at: http://grants.nih.gov/grants/guide/notice-files/NOT-
OD-16-007.html. Notice no. NOT-OD-16-007, October, 13.
Full text available at: http://dx.doi.org/10.1561/110.00000002
References 79
NIH. 2015c. “NIH & AHRQ announce upcoming changes to policies,
instructions and forms for 2016 grant applications”. Available at:
http: //grants.nih. gov/grants/ guide / notice- files/NOT-OD- 16 -
004.html. Notice no. NOT-OD-16-004, October 13.
NIH. 2015d. “Reminder: NIH and AHRQ biosketch requierements for
due dates on or after May 25, 2016”. Available at: http://grants.nih.
gov/grants/guide/notice-files/NOT- OD-15-085.html. Notice no.
NOT-OD-15-085, March 24.
Niskanen, W. A. 1968. “The peculiar economics of bureaucracy”. The
American Economic Review. 58(2): 293–305.
Niskanen, W. A. 1974. Bureaucracy and Representative Government.
New Brunswick, NJ: Aldine Transaction Publishers.
NSF. 2010. “Scientists seeking NSF funding will soon be required to
submit data management plans.” Available at: http://www.nsf.gov/
news/news_summ.jsp?cntn_id=116928. May 10.
NSF. 2013. “Grant proposal guide: Chapter II-proposal preparation
instructions”. Available at: https://www.nsf.gov/pubs/policydocs/
pappguide/nsf13001/gpg_index.jsp. January.
ORI. 2016. “Historical background”. Available at: http://ori.hhs.gov/
historical-background. April 25.
Oushy, M. H., R. Palacios, A. E. Holden, A. G. Ramirez, K. J. Gallion,
and M. A. O’Connell. 2015. “To share or not to share? A survey of
biomedical researchers in the US southwest, an ethnically diverse
region”. PloS One. 10(9): e0138239.
Palca, J. 1996. “Scientific misconduct: Ill-defined, redefined”. The Hast-
ings Center Report. 26(5): 4.
Pandey, S. K. and G. A. Kingsley. 2000. “Examining red tape in public
and private organizations: Alternative explanations from a social
psychological model”. Journal of Public Administration Research
and Theory. 10(4): 779–800.
Pandey, S. K. and H. G. Rainey. 2006. “Public managers’ perceptions
of organizational goal ambiguity: Analyzing alternative models”.
International Public Management Journal. 9(2): 85–112.
Full text available at: http://dx.doi.org/10.1561/110.00000002
80 References
Pandey, S. K. and P. G. Scott. 2002. “Red tape: A review and assess-
ment of concepts and measures”. Journal of Public Administration
Research and Theory. 12(4): 553–580.
Pandey, S. K. and B. E. Wright. 2006. “Connecting the dots in public
management: Political environment, organizational goal ambigu-
ity, and the public manager’s role ambiguity”. Journal of Public
Administration Research and Theory. 16(4): 511–532.
Pascal, C. B. 1999. “Scientific misconduct and research integrity”. Pro-
fessional Ethics, a Multidisciplinary Journal. 7(1): 9–32.
Payne, A. A. 2002. “Do US congressional earmarks increase research
output at universities?” Science and Public Policy. 29(5): 314–330.
Piwowar, H. A., M. J. Becich, H. Bilofsky, and R. S. Crowley. 2008.
“Towards a data sharing culture: Recommendations for leadership
from academic health centers”. PLoS Medicine. 5(9): e183.
Ponomariov, B. L. and P. C. Boardman. 2011. “Organizational pathol-
ogy compared to what? Impacts of job characteristics and career
trajectory on perceptions of organizational red tape”. Public Admin-
istration Review. 71(4): 582–597.
Rainey, H. G. and C. S. Jung. 2014. “A conceptual framework for
analysis of goal ambiguity in public organizations”. Journal of
Public Administration Research and Theory. 25(1): 71–99.
Rainey, H. G., S. Pandey, and B. Bozeman. 1995. “Research note: Public
and private managers’ perceptions of red tape”. Public Administra-
tion Review. 55(6): 567–574.
Rizzo, J. R., R. J. House, and S. I. Lirtzman. 1970. “Role conflict
and ambiguity in complex organizations”. Administrative Science
Quarterly. 15(2): 150–163.
Rourke, F. E. 1993. “The 1993 John Gaus Lecture: Whose Bureaucracy
Is This, Anyway? Congress, the President and Public Administra-
tion”. Political Science & Politics. 26(4): 687–692.
Savage, J. D. 2000. Funding Science in America: Congress, Universi-
ties and the Politics of the Academic Pork Barrel. New York, NY:
Cambridge University Press.
Full text available at: http://dx.doi.org/10.1561/110.00000002
References 81
Scaffidi, A. K. and J. E. Berman. 2011. “A positive postdoctoral ex-
perience is related to quality supervision and career mentoring,
collaborations, networking and a nurturing research environment”.
Higher Education. 62(6): 685–698.
Schneider, S. L., K. K. Ness, S. Rockwell, K. Shaver, and R. Brutkiewicz.
2014. “FDP 2012 Faculty Workload Survey: Research Report”. Avail-
able at: http: / /sites.nationalacademies.org/cs/groups/pgasite /
documents/webpage/pga_087667.pdf . Technical Report, Federal
Demonstration Partnership.
Schrag, Z. M. 2009. “How talking became human subjects research:
The federal regulation of the social sciences 1965-1991”. Journal of
Policy History. 21(1): 3–37.
Smith, T. L., J. Trapani, A. Decrappeo, and D. Kennedy. 2011. “Re-
forming regulation of research universities”. Issues in Science and
Technology. 27(4): 57.
Stanley, B. and M. Stanley. 1988. “Data sharing: The primary re-
searcher’s perspective”. Law and Human Behavior. 12(2): 173–180.
Steneck, N. H. 1994. “Research universities and scientific misconduct:
History, policies, and the future”. The Journal of Hgher Education.
65(3): 310–330.
Tenopir, C., S. Allard, K. Douglass, A. U. Aydinoglu, L. Wu, E. Read,
and M. Frame. 2011. “Data sharing by scientists: Practices and
perceptions”. PloS One. 6(6): e21101.
Tulloch, D. L. and F. Harvey. 2007. “When data sharing becomes
institutionalized: Best practices in local government geographic
information relationships”. URISA Journal. 19(2): 51–59.
Vanderbilt, U. 2015. “Fact Sheet: An Assessment of the Cost of Federal
Regulatory Compliance at Vanderbilt University”. Available at:
http://news.vanderbilt.edu/files/2015-VU-CRC-Fact-Sheet.pdf .
Weimer, D. L. 2006. “The puzzle of private rulemaking: Expertise, flexi-
bility, and blame avoidance in US regulation”. Public Administration
Review. 66(4): 569–582.
Weingast, B. R. and M. J. Moran. 1983. “Bureaucratic discretion or
congressional control? Regulatory policymaking by the Federal Trade
Commission”. Journal of Political Economy. 91(5): 765–800.
Full text available at: http://dx.doi.org/10.1561/110.00000002
Author Biographies
Barry Bozeman is Arizona Centennial Professor of Technology Policy
and Public Management and Director of the Center for Organization Re-
search and Design, Arizona State University. Bozeman is corresponding
author. Email: bbozeman@asu.edu. Website: https://cord.asu.edu/
Jiwon Jung is a doctoral student and senior research associate, Cen-
ter for Organization Research and Design, Arizona State University.
Her research interests lie in the fields of public personnel manage-
ment, science and technology policy, and public management. Email:
jiwon.jung@asu.edu.
82
Full text available at: http://dx.doi.org/10.1561/110.00000002
... Senior academics and research administrators with careers spanning decades have observed a trend in the growth of bureaucratic rules, administrative workloads, a notion supported by interviewees in this study, and management structures relating to research policy and practice (Bozeman and Jung, 2017). Consequently, this growth has increased the administrative burdens of individual researchers and organisations, thereby affecting their ability to effectively perform research related activities (Coccia, 2019a;Bozeman and Jung, 2017;Woelert, 2020). ...
... Senior academics and research administrators with careers spanning decades have observed a trend in the growth of bureaucratic rules, administrative workloads, a notion supported by interviewees in this study, and management structures relating to research policy and practice (Bozeman and Jung, 2017). Consequently, this growth has increased the administrative burdens of individual researchers and organisations, thereby affecting their ability to effectively perform research related activities (Coccia, 2019a;Bozeman and Jung, 2017;Woelert, 2020). This increase in bureaucratic and administrative requirements is best encapsulated by the concept and process known as bureaucratisation. ...
... Bureaucratisation -especially administrative bureaucratisation-occurs in universities and public research institutions when administrative positions and administrative activities performed by non-research staff increase over time at a greater and more disproportionate rate than teaching or research activities and positions (Walsh and Lee, 2015;Bozeman and Jung, 2017). Another form of bureaucratisation also occurs in research bodies (particularly publicly funded research bodies), namely academic bureaucratisation (Coccia, 2009a;2009b;Woelert, 2020). ...
Thesis
Full-text available
The pervasiveness of threats posed by biological invasions presents significant challenges to human well-being, biodiversity conservation, and natural resource management, which has contributed to the growth of invasion science as a discipline. However, several studies have shown that the social-ecological complexity of invasions, the compartmentalisation of knowledge into disciplines and the lack of integrative research approaches, current invasion research has not informed management decision making effectively. Thus, to maximise the impact of research investments, there is a need to explore and evaluate how research informs management practices and processes linked to biological invasions. Accordingly, this dissertation outlines the state of invasion management-related research in South Africa, using the internationally recognised Working for Water (WfW) programme as a case study. Drawing on insights from science studies and evaluation research, a mixed-method approach is used to assess the processes, conditions and outputs associated with research produced under the programme’s auspices. The research comprised two areas of inquiry 1) the exploration of textual information (journal articles, grey literature, and their content), and 2) the social dimensions of research and decision making linked to invasion science and management, with a specific focus on collaborative relationships amongst scientists and decision makers. It sought to determine the extent to which published research aligned with the programme’s needs, research and management strategies. The research also aimed to identify effective ways for organising and producing knowledge relevant to decision making; and to provide insights into how the social dimensions, the people and organisations, their interactions and impact, have shaped research and decision-making processes. Findings suggest that there are significant gaps in the knowledge base particularly in relation to the social dimensions of biological invasions, which were poorly represented and aligned with the mandate and priorities set by the programme. This research showed significant deficiencies in knowledge management and the uptake of research funded by the programme, despite its potential relevance to decision making as evidenced by the recommendations presented in the research. Moreover, research produced under WfW’s auspices was authored by a handful of key researchers who fulfil a significant role in shaping research collaborations both across disciplines and institutions. The loss of these key individuals, including those involved in management-related decision making, would be detrimental to the stability of collaboration networks and research productivity. Finally, findings show that research productivity, collaborative relationships between scientists within and across research organisations, and between research and decision-making processes are positively influenced by collegiality and cooperation between actors, while increased competition and bureaucratisation in the workplace negatively influence research productivity. To address the shortcomings concerning the invasion research and management identified in this dissertation, efforts towards improving the relationship between researchers and decision-makers and building more resilient collaboration networks need to be implemented. Firstly, institutions must engage in and fund more targeted, long-term transdisciplinary or integrative research that incorporates appropriate structures that foster collaboration, knowledge coproduction and knowledge sharing. Secondly, systems and strategies for monitoring and evaluating research, including the use of bibliometric indicators, social network analyses and qualitative assessments, should be developed to ensure that research relevant to managing biological invasions is not lost to the decision-making process. Such an undertaking would in turn require the development of an integrated research strategy and action plan that accounts for both the knowledge management and the social processes underpinning research and decision making.
... Almost all studies (e.g., Davison & Ou, 2013;Ferneley & Sobreperez, 2006;Strong & Miller, 1995) relate to solving problems posed by flows in computer-based information systems and, of course, these problems are not unique to the IT field. Many workarounds in nursing and in university research administration (Bozeman & Jung, 2017) related directly to computer-based information systems. However, some of the questions in this field are more intrinsic to the field. ...
... In doing so, the researchers often bear material and sometimes psychological costs, ergo administrative burden. 1 Below we consider some leading issues in administrative burden in university research administration. Readers interested in more detailed analysis of administrative burden in the context of university research administration may wish to consult (Bozeman & Jung, 2017). ...
... A great many factors seem to be driving ever-increasing research administrative burden. One meta-review (Bozeman & Jung, 2017) of research on university administrative burden in the United States identified bureaucratic overlap and limited coordination as one chief culprit. Funding agencies have surprisingly different requirements and different processes. ...
Article
Full-text available
The article examines administrative workarounds in the context of university research administration. The empirical results from 116 semi-structured interviews with academic researchers with active National Science Foundation awards are framed by a “Rules Response” model positing relationships among rules compliance requests, administrative burden, red tape, and response choices, including compliance, appeal, rule bending, rule breaking, and workaround behaviors. Propositions are presented and reviewed in light of empirical results. The article concludes the implications of empirical results for improving the Rules Response model and a more general discussion of research needed to improve the understanding of both rules compliance and workarounds.
... These include, for example, requiring PIs who have no lab animals to verify that they are not mistreating these nonexistent animals; requiring postdoctoral mentoring plans before researchers are hired or have been given duties about which to mentor; and mandating regular attestations to work hours and assignments-all this despite the fact that the most important research work, idea development, may well occur as one is hiking, driving, or taking a bath. One of our favorites is the congressionally mandated requirement that researchers attest that they are doing nothing that abridges gun rights under the Second Amendment, regardless of the focus of their work (for a fuller explanation and other examples of the breadth of research administration regulations, see Bozeman and Jung 2017). Most of these rules are vexing, not life-altering, but, as so well described by one of the PIs we interviewed, taken together, they represent "death by a thousand 10-minute tasks." ...
... In some cases, administrative burden is sufficient to represent a problem on its own, and in others, it is a leading indicator of possible red tape. The sheer volume of regulations concerning university research is creating an unsustainable administrative burden (for an overview, see Bozeman and Jung 2017). Anyone in the United States who has a federal research grant is responsible, along with their institution, for complying with a voluminous set of federal government research regulations. ...
Article
Full-text available
This Viewpoint essay examines university research administration and the use of software systems that automate university research grants and contract administration, including the automatic sending of emails for reporting and compliance purposes. These systems are described as "robotic bureaucracy." The rise of regulations and their contribution to administrative burden on university research have led university administrators to increasingly rely on robotic bureaucracy to handle compliance. This article draws on the administrative burden, behavioral public administration, and electronic communications and management literatures, which are increasingly focused on the psychological and cognitive bases of behavior. These literatures suggest that the assumptions behind robotic bureaucracy ignore the extent to which these systems shift the burden of compliance from administrators to researchers.
... These include, for example, requiring PIs who have no lab animals to verify that they are not mistreating these nonexistent animals; requiring postdoctoral mentoring plans before researchers are hired or have been given duties about which to mentor; and mandating regular attestations to work hours and assignments-all this despite the fact that the most important research work, idea development, may well occur as one is hiking, driving, or taking a bath. One of our favorites is the congressionally mandated requirement that researchers attest that they are doing nothing that abridges gun rights under the Second Amendment, regardless of the focus of their work (for a fuller explanation and other examples of the breadth of research administration regulations, see Bozeman and Jung 2017). Most of these rules are vexing, not life-altering, but, as so well described by one of the PIs we interviewed, taken together, they represent "death by a thousand 10-minute tasks." ...
... In some cases, administrative burden is sufficient to represent a problem on its own, and in others, it is a leading indicator of possible red tape. The sheer volume of regulations concerning university research is creating an unsustainable administrative burden (for an overview, see Bozeman and Jung 2017). Anyone in the United States who has a federal research grant is responsible, along with their institution, for complying with a voluminous set of federal government research regulations. ...
Article
Full-text available
This Viewpoint essay examines university research administration and the use of software systems that automate university research grants and contract administration, including the automatic sending of emails for reporting and compliance purposes. These systems are described as "robotic bureaucracy." The rise of regulations and their contribution to administrative burden on university research have led university administrators to increasingly rely on robotic bureaucracy to handle compliance. This article draws on the administrative burden, behavioral public administration, and electronic communications and management literatures, which are increasingly focused on the psychological and cognitive bases of behavior. These literatures suggest that the assumptions behind robotic bureaucracy ignore the extent to which these systems shift the burden of compliance from administrators to researchers.
... These qualitative examples of virtues in physician practice arrangements only begin to grasp the benefits of freedom and the ability to shape the path of the profession. Future discussions on virtue and physician ownership could address more empirical economic data and case studies of these virtues being exercised, and further insights may emerge from comparisons with existing worker cooperatives and universities' treatments of professors (see Bozeman and Jung 2017). As younger physicians and trainees approach their future practice sites with imagination and courage, churches, families, and intentional communities should be ready to support and benefit from them with new ways of partnership. ...
Article
The shift from physicians as owners or shareholders of practices to being employees of corporations is now a widespread trend with over 50% of physicians now considered employees. If continued, this trend will have profound effects on the medical profession and on physicians’ personal lifestyles and sense of agency. However, ownership is not a morally neutral consideration but is important for safeguarding the traditions of virtue in the medical profession. Virtue develops within localized communities of practice and thrives in settings that embody principles such as solidarity, subsidiarity, and participation found in Catholic social teaching. Ownership increases physicians’ investment in moral communities where they practice, affording physicians greater agency to benefit these communities according to their best judgment. This ownership can vary by type of organization and degree of shareholding. Because moral communities are the settings in which physicians form virtue, and ownership increases physicians’ commitment and investment in communities, I make a principled argument that physicians who value developing virtue should consider having ownership of their practices when planning their careers. Ownership will be an important aspect of any medical ethics based on virtue rather than on principlism.
... Red tape can also be seen in the case of "rule redundancy" (Bozeman & Jung, 2017) resulting from bureaucratic overlap, where administration such as explanations of data sharing arrangements is duplicated across platforms (e.g. for funding applications, ethics applications, and journal requirements), but often with different specifications. Another example of rule redundancy is with preregistrations, documents which may closely mirror elements of existing research administration, such as research protocols required for ethical review. ...
Article
Full-text available
It is acknowledged that conducting open research requires additional time and effort compared to conducting ‘closed’ research. However, this additional work is often discussed only in abstract terms, a discourse which ignores the practicalities of how researchers are expected to find the time to engage with these practices in the context of their broader role as multifaceted academics. In the context of a sector that is blighted by stress, burnout, untenable workloads, and hyper-competitive pressures to produce, there is a clear danger that additional expectations to engage in open practices add to the workload burden and increase pressure on academics even further. In this article, the theories of academic capitalism and workload creep are used to explore how workload models currently exploit researchers by mismeasuring academic labour. The specific increase in workload resulting from open practices and associated administration is then outlined, including via the cumulative effects of administrative burden. It is argued that there is a high chance that without intervention, increased expectations to engage in open research practices may lead to unacceptable increases in demands on academics. Finally, the individual and systematic responsibilities to mitigate this are discussed.
... The evidence gathered in our research shows that, in effect, there are differences in the way public and private university institutions have transformed their governance and management models. In particular, public universities have resorted relatively more to standardisation, coinciding with some forecasts (Walsh and Lee 2015;Bozeman and Jung 2017), while private universities have resorted to other mechanisms of co-ordination between teachers and university departments. ...
Article
Full-text available
Recent decades have witnessed how both in Spain and elsewhere, legal reforms have helped to transform the management and governance of Higher Education Institutions (HEIs). These transformations have changed the conditions in which academics work, with a knock-on effect on their job satisfaction. Although these legal developments in Spain have basically been the same for both the public and private sectors in Higher Education, the evidence gathered in this article shows that the rate of cases of loss of job satisfaction is higher in public institutions than in private ones. The article provides an initial explanation for this situation, whereby the legal reforms have been met with different organisational solutions in these two kinds of institutions.
... The rule density experienced by various individuals in the same organization may differ a good deal, not only because of differences in perception (Jacobsen and Jakobsen 2018) but also because persons in different parts of any organization may be subject to very different set of rules. For example, in universities, faculty who are active in obtaining government research grants almost always experience a high level of rule density, due to numerous government regulations related to grants, whereas faculty members who are not grants-active may have a much lower individual rule density (Bozeman and Jung 2017). ...
Article
Full-text available
Few studies focus on the full array of employees' responses to the formal rules governing their work. This article develops a set of propositions as to why employees comply fully with rules, comply in part, or disobey rules. The primary goal of the article is to stimulate further development of theory and research about rules-based behaviors. The article sets forth a Heuristic Model of Rules Compliance Behavior, "heuristic" because it aims less at explanation than the development of concepts and propositions about organizational employees' rules compliance behavior. The model's dimensions include the sources of rules, the characteristics of rule arbiters, the compliance requirements of rules, characteristics of sanctions for noncompliance, and rule density. The article concludes with suggestions for future research and argues that greater knowledge of rules compliance could provide a theory-enabling "scaffolding' for several research topics related to organizational rules.
Book
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The nature of academic institutions is inherently gendered. This is because higher education institutions (HEIs) do not operate in a void but, rather, are part and parcel of patriarchal social structures. This book offers a comprehensive presentation of the gendered and gendering academic career development. It explores various scholarly roles that academics face throughout their careers and how they are gendered in their nature. The book connects relevant literature on the topic with novel empirical studies to increase the understanding of how gender is played in academia across different roles and different career stages. The empirical context is conducted in Central and Eastern Europe and sheds new light on the gendered and gendering nature in academia in the region. The book also offers propositions on how to undo gendered academia to make it a more inclusive workplace for all. Dedicated to the academic reader employed in HEIs, particularly among those who are involved in the management of such institutions, this volume will be of great interest to researchers, academics, and advanced students in the fields of human resource management, organizational studies, higher education, and gender studies.
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Research universities rely heavily on external funding to advance knowledge and generate economic growth. In the USA, tens of billions of dollars are spent each year on research and development with the federal government contributing over half of these funds. Yet a decline in relative federal funding highlights the role of other funders and their varying contractual terms. Specifically, nonfederal funders provide lower recovery of indirect costs. Using project-level university-sponsored research administrative records from four institutions, we examine indirect cost recovery. We find significant variation in the amount of indirect funding recovered—both across and within funders, as well as to different academic fields within a university. The distribution of sponsors in the overall research funding portfolio also impacts indirect cost recovery. The recovery variation has important implications for the sustainability and cross-subsidization of the university research enterprise. Together, our results show where universities are under-recovering indirect costs.
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Background: Cancer health disparities research depends on access to biospecimens from diverse racial/ethnic populations. This multimethodological study, using mixed methods for quantitative and qualitative analysis of survey results, assessed barriers, concerns, and practices for sharing biospecimens/data among researchers working with biospecimens from minority populations in a 5 state region of the United States (Arizona, Colorado, New Mexico, Oklahoma, and Texas). The ultimate goals of this research were to understand data sharing barriers among biomedical researchers; guide strategies to increase participation in biospecimen research; and strengthen collaborative opportunities among researchers. Methods and population: Email invitations to anonymous participants (n = 605 individuals identified by the NIH RePORT database), resulted in 112 responses. The survey assessed demographics, specimen collection data, and attitudes about virtual biorepositories. Respondents were primarily principal investigators at PhD granting institutions (91.1%) conducting basic (62.3%) research; most were non-Hispanic White (63.4%) and men (60.6%). The low response rate limited the statistical power of the analyses, further the number of respondents for each survey question was variable. Results: Findings from this study identified barriers to biospecimen research, including lack of access to sufficient biospecimens, and limited availability of diverse tissue samples. Many of these barriers can be attributed to poor annotation of biospecimens, and researchers' unwillingness to share existing collections. Addressing these barriers to accessing biospecimens is essential to combating cancer in general and cancer health disparities in particular. This study confirmed researchers' willingness to participate in a virtual biorepository (n = 50 respondents agreed). However, researchers in this region listed clear specifications for establishing and using such a biorepository: specifications related to standardized procedures, funding, and protections of human subjects and intellectual property. The results help guide strategies to increase data sharing behaviors and to increase participation of researchers with multiethnic biospecimen collections in collaborative research endeavors. Conclusions: Data sharing by researchers is essential to leveraging knowledge and resources needed for the advancement of research on cancer health disparities. Although U.S. funding entities have guidelines for data and resource sharing, future efforts should address researcher preferences in order to promote collaboration to address cancer health disparities.
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