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1 – 10 of 118Dominique Santini and Holly Henderson
Purpose: The purpose of this paper is to consolidate knowledge and benchmark the progress being made across the 32 International Federations (IFs) in the Summer Olympic…
Abstract
Purpose: The purpose of this paper is to consolidate knowledge and benchmark the progress being made across the 32 International Federations (IFs) in the Summer Olympic Programme.
Design/methodology/approach: A website content analysis, analytical hierarchy of information, and social media research was conducted to triangulate the barriers and drivers of environmental sustainability (ES) progress. This data was then analysed to empirically substantiate the findings of previous methods by exploring potential drivers of IF ES progress and communication and refining the ranking of IF ES progress.
Results and findings: World Sailing is by far the most advanced IF in terms of ES progress, followed by World Athletics. Only 4 out of 32 have any sort of strategic ES plans. Only golf, surfing, football, sailing, and hockey have received any academic attention. There is a significant lack of understanding of environmental practices across sport, and their drivers/barriers. There is limited accountability with regards to ES progress and activities throughout the Olympic Movement. This has resulted in uneven diffusion of environmental activities.
Originality: This paper is a new contribution to sport management and ES literature. It provides a benchmark of understanding for ES in the Summer Olympic Programme for the first time using a hierarchy of information to ground results. The exploration and comparison of the perspectives of separate sports adds to the paper's originality.
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Holly Henderson and C.M. “Skip” Lissiman OAM
The purpose of this paper is to examine the legacy of Australia II 's victory in the America's Cup in 1983. Achieving sporting success at international events produces a variety…
Abstract
Purpose
The purpose of this paper is to examine the legacy of Australia II 's victory in the America's Cup in 1983. Achieving sporting success at international events produces a variety of impacts and identities for the sporting nation, the team, and individuals involved in the victory. These impacts differ from sport to sport and are affected by the mechanisms involved in the event (such as the bidding process). What makes these legacies unusual is that they were driven by sporting success, with the right to host and defend the America's Cup being solely dependent on winning the Cup in 1983, rather than a pre‐planned concept from a bidding team or event manager.
Design/methodology/approach
A case study approach is used in this paper, based upon the evaluation of literature in the public domain. This information is enhanced by primary research obtained from the observations of one of the authors as a crew member of Australia II.
Findings
26 years on since Australia II 's success, and the legacy is still flourishing, the ripple effect has not dissipated. The cause and effect of winning the America's Cup has created three legacies, hosting the defence of the America's Cup, the creation of organisations developing participation in the sport of sailing with a growing events portfolio and the establishment of a national sporting identity.
Originality/value
Insights are outlined into the legacies of Australia II through the use of sporting heroes, identity, social capital, community networks and an emerging events management portfolio.
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Vasilis Gkogkidis and Nicholas Dacre
Research into responsible management education has largely focused on the merits, attributes, and transformation opportunities to enhance responsible business school education…
Abstract
Research into responsible management education has largely focused on the merits, attributes, and transformation opportunities to enhance responsible business school education aims. As such, a prominent part of the literature has occupied itself with examining if responsible management modules are inherently considered a non-crucial element of the curriculum and determining the extent to which business schools have introduced such learning content into their curriculum. However, there has been scant research into how to apply novel teaching approaches to engage students and promote responsible management education endeavours. As such, this paper seeks to address this gap through the development of a teaching framework to support educators in designing effective learning environments focused on responsible management education. We draw on constructivist learning theories and Lego Serious Play (LSP) as a learning enhancement approach to develop a pedagogical framework titled The Educator's LSP Journey. LSP is chosen due to its increasing application in learning environments to help promote critical discourse, and engage with highly complex problems, whether these are social, economic, environmental, or organisational. Therefore, this paper contributes to the responsible management education discourse by providing educators with a practical methodology to support student engagement and co-creation of knowledge by fostering exploratory learning environments and enriching the practices of active learning communities.
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Shahram Amini, Michael S. Delgado, Daniel J. Henderson and Christopher F. Parmeter
Hausman (1978) represented a tectonic shift in inference related to the specification of econometric models. The seminal insight that one could compare two models which were both…
Abstract
Hausman (1978) represented a tectonic shift in inference related to the specification of econometric models. The seminal insight that one could compare two models which were both consistent under the null spawned a test which was both simple and powerful. The so-called ‘Hausman test’ has been applied and extended theoretically in a variety of econometric domains. This paper discusses the basic Hausman test and its development within econometric panel data settings since its publication. We focus on the construction of the Hausman test in a variety of panel data settings, and in particular, the recent adaptation of the Hausman test to semiparametric and nonparametric panel data models. We present simulation experiments which show the value of the Hausman test in a nonparametric setting, focusing primarily on the consequences of parametric model misspecification for the Hausman test procedure. A formal application of the Hausman test is also given focusing on testing between fixed and random effects within a panel data model of gasoline demand.
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Randall W. Eberts, Ph.D., is the executive director of the W. E. Upjohn Institute for Employment Research, Kalamazoo, Michigan.Mary Hatwood Futrell, Ed.D., is president of…
Abstract
Randall W. Eberts, Ph.D., is the executive director of the W. E. Upjohn Institute for Employment Research, Kalamazoo, Michigan.Mary Hatwood Futrell, Ed.D., is president of Education International (EI), headquartered in Brussels, Belgium, and dean of the Graduate School of Education and Human Development at George Washington University, Washington, DC.Bob Harris, M.A., Dip.T (Sec.), (Australia), advanced study at the Institut Universitaire des Hautes Etudes Internationales, Geneva, is a former EI executive director and current senior consultant based in Nyon, Switzerland.Ronald D. Henderson, Ph.D., is the director of the Research Department at the National Education Association, Washington, DC.Rachel Hendrickson, Ph.D., is the higher education coordinator in the Membership and Organizing Department at the National Education Association, Washington, DC.Kevin Hollenbeck, Ph.D., is a senior economist and director of publications at the W. E. Upjohn Institute for Employment Research, Kalamazoo, Michigan.Susan Moore Johnson, Ed.D., is Carl H. Pforzheimer, Jr., Professor of Teaching and Learning at the Harvard University Graduate School of Education, Cambridge, Massachusetts.Charles T. Kerchner, Ph.D., is Hollis P. Allen Professor of Education at the Claremont Graduate University, Claremont, California.Julia E. Koppich, Ph.D., is president of Koppich & Associates, an education policy research and consulting firm, in San Francisco, California.Carrie M. Lewis, J.D., is a senior writer-editor in the Government Relations Department at the National Education Association, Washington, DC.Christine Maitland, Ph.D., is a former higher education coordinator for the National Education Association who now works on higher education issues with the NEA’s Pacific Regional Office in Burlingame, California.Christine E. Murray, Ph.D., is a professor in the Department of Education and Human Development and dean of the School of Professions, State University of New York College at Brockport.Diane Shust, J.D., M.S.Ed., is the director of the Government Relations Department at the National Education Association, Washington, DC.Joe A. Stone, Ph.D., is W. E. Miner Professor of Economics at the University of Oregon, Eugene.Wayne J. Urban, Ph.D., is Regents’ Professor of Education in the Department of Educational Policy Studies at Georgia State University, Atlanta.Fred van Leeuwen is the general secretary of Education International, Brussels, Belgium.Maris A. Vinovskis, Ph.D., is Bentley Professor of History, senior research scientist at the Institute for Social Research, and faculty member of the Gerald R. Ford School of Public Policy at the University of Michigan, Ann Arbor.Paul Wolman, Ph.D., is a senior policy analyst in the Research Department at the National Education Association, Washington, DC.
This chapter revisits the Hausman (1978) test for panel data. It emphasizes that it is a general specification test and that rejection of the null signals misspecification and is…
Abstract
This chapter revisits the Hausman (1978) test for panel data. It emphasizes that it is a general specification test and that rejection of the null signals misspecification and is not an endorsement of the fixed effects estimator as is done in practice. Non-rejection of the null provides support for the random effects estimator which is efficient under the null. The chapter offers practical tips on what to do in case the null is rejected including checking for endogeneity of the regressors, misspecified dynamics, and applying a nonparametric Hausman test, see Amini, Delgado, Henderson, and Parmeter (2012, chapter 16). Alternatively, for the fixed effects die hard, the chapter suggests testing the fixed effects restrictions before adopting this estimator. The chapter also recommends a pretest estimator that is based on an additional Hausman test based on the difference between the Hausman and Taylor estimator and the fixed effects estimator.
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This chapter suggests that enhancing sustainable development in the age of technologies requires reflection about the relationship between business practice and sustainable…
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This chapter suggests that enhancing sustainable development in the age of technologies requires reflection about the relationship between business practice and sustainable development, as well as clarification of the relationship between sustainability and sustainable development. At the core of business activity is the definition of sustainable development defined by Brundtland (1987) as ‘meet[ing] the needs of the present without compromising the ability of future generations to meet their own needs’. Although that captures only one aspect of the sustainability story and its relationship to sustainable development, it nonetheless shapes business approach in research and in sustainability practices. To illustrate the contradictions and tensions in practice so far, this chapter uses three lenses: measurement in environmental, social and governance (ESG) investment, the problem of scalability and the challenge of bias in artificial intelligence (AI). It is not clear that we need a paradigm shift, but a shift in mindsets around sustainability business practice will be needed if sustainable development is to be enhanced in the age of technologies.
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Are men and women akin to single‐minded, “cold” calculators, each out to maximize his or her own well‐beings? Are humans able to figure out rationally the most efficient way to…
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Are men and women akin to single‐minded, “cold” calculators, each out to maximize his or her own well‐beings? Are humans able to figure out rationally the most efficient way to realize their goals? Is society mainly a market place, in which self‐serving individuals compete with one‐another‐at work in politics and in courtship enhancing the general welfare in the process? Assuming human beings see themselves both as members of a community and as self‐serving individuals, how are the lines drawn between the commitments to the commons and to one's self? we are now in the middle of a paradigmatic struggle. Challenged is the entrenched utilitarian, rationalistic — individualistic, neoclassical paradigm which is applied not merely to the economy but also, increasingly, to the full array of social relations, from crime to family. One main challenger is a social‐conservative paradigm that sees individuals as morally deficient and often irrational, hence requiring a strong authority to control their impulses, direct their endeavors, and maintain order (Etzioni, 1988).