Purpose – In an attempt to enhance patient safety, health care facilities are increasingly turning to crew resource management (CRM) and other teamwork training…
Purpose – In an attempt to enhance patient safety, health care facilities are increasingly turning to crew resource management (CRM) and other teamwork training interventions. However, there is still quite a bit about such training interventions that remain unclear. Accordingly, our primary intent herein is to provide some clarity by providing a review of the literature, in hopes of highlighting the current state of the literature as well as identifying the areas that should be addressed by researchers in this field going forward.
Design/methodology/approach – We searched various electronic databases and utilized numerous relevant search terms to maximize the likelihood of identifying all empirical research related to the use of CRM training within health care. Additionally, we conducted a manual search of the most relevant journals and also conducted a legacy search to identify even more articles. Furthermore, given that as a research team we have experience with CRM initiatives, we also integrate the lessons learned through this experience.
Findings – Based on our review of the literature, CRM and teamwork training programs generally appear beneficial to individual employees, the groups and teams within such settings, and overall health care organizations.
Originality/value – In addition to reviewing the literature that addressed CRM and teamwork training, we also highlight some of the more critical aspects of CRM training programs in order for such initiatives to be as successful as possible. Additionally, we detail various factors that appear essential to sustaining any benefits of CRM over the long haul.
The purpose of this paper is to advocate for and provide guidance for the development of a code of ethical conduct surrounding online privacy policies, including those concerning data mining. The hope is that this research generates thoughtful discussion on the issue of how to make data mining more effective for the business stakeholder while at the same time making it a process done in an ethical way that remains effective for the consumer. The recognition of the privacy rights of data mining subjects is paramount within this discussion.
The authors derive foundational principles for ethical data mining. First, philosophical literature on moral principles is used as the theoretical foundation. Then, using existing frameworks, including legislation and regulations from a range of jurisdictions, a compilation of foundational principles was derived. This compilation was then evaluated and honed through the integration of stakeholder perspective and the assimilation of moral and philosophical precepts. Evaluating a sample of privacy policies hints that current practice does not meet the proposed principles, indicating a need for changes in the way data mining is performed.
A comprehensive framework for the development a contemporary code of conduct and proposed ethical practices for online data mining was constructed.
This paper provides a configuration upon which a code of ethical conduct for performing data mining, tailored to meet the particular needs of any organization, can be designed.
The implications of data mining, and a code of ethical conduct regulating it, are far-reaching. Implementation of such principles serve to improve consumer and stakeholder confidence, ensure the enduring compliance of data providers and the integrity of its collectors, and foster confidence in the security of data mining.
Existing legal mandates alone are insufficient to properly regulate data mining, therefore supplemental reference to ethical considerations and stakeholder interest is required. The adoption of a functional code of general application is essential to address the increasing proliferation of apprehension regarding online privacy.
This chapter examines EI, presents a history of EI including the various models, and a discussion of the three streams approach to classifying EI literature. The author…
This chapter examines EI, presents a history of EI including the various models, and a discussion of the three streams approach to classifying EI literature. The author advocates for the efficacy of the Stream One Ability Model (SOAM) of EI citing previous authors and literature. The commonly used SOAM instruments are discussed in light of recent studies. The discussion turns to alternate tests of the SOAM of EI including Situational Judgment Tests (SJTs). Recommendations include an analysis of SOAM instruments, a new approach to measurement, and increased use of SJTs to capture the four-branch ability model of EI.
It has often been said that a great part of the strength of Aslib lies in the fact that it brings together those whose experience has been gained in many widely differing fields but who have a common interest in the means by which information may be collected and disseminated to the greatest advantage. Lists of its members have, therefore, a more than ordinary value since they present, in miniature, a cross‐section of institutions and individuals who share this special interest.
Entrepreneurship-related research in management and organizational journals has experienced rapid growth, particularly in the last several years. The purpose of this study…
Entrepreneurship-related research in management and organizational journals has experienced rapid growth, particularly in the last several years. The purpose of this study is to identify the researchers and universities that have had the greatest influence on entrepreneurship research since the turn of the century. Using a systematic and comprehensive study identification protocol, the authors delve into the individual and institutional actors contributing to scholarship in entrepreneurial studies for the period from 2000 to 2015. Examination of top-tier management and organizational journals revealed that a total of 371 entrepreneurship-related articles were published during this period by 618 authors from 303 different institutions. Rankings for the most prolific individuals as well as institutions, adjusted and unadjusted for journal quality, are presented. The article concludes with a discussion of the limitations and implications of the research undertaken here.
In the fall of 1987, the first of three volumes of a scholarly research atlas—The Historical Atlas of Canada—was published to great acclaim. Describing the Atlas as “the…
In the fall of 1987, the first of three volumes of a scholarly research atlas—The Historical Atlas of Canada—was published to great acclaim. Describing the Atlas as “the most innovative, beautiful and successful single volume on the history of Canada, and indeed the most ambitious cartographic venture ever attempted in this country,” the Royal Canadian Geographic Society awarded gold medals to the volume's editor, R.C. Harris, and cartographer/designer, Geoffrey J. Matthews, as well as to the director of the whole Atlas project, W.G. Dean. The volume received many honors, including the Sir John A. Macdonald Prize for the best book of the year on Early Canada from the Canadian Historical Association and the George Perkins Marsh Award in Environmental History from the University of Utah. Reviewers described the volume in superlatives. American reviewers were equally generous in their praise. Petchenik (herself the editor of the Historical Atlas of Early American History) described the volume as “an amazing accomplishment” and commented that “Not only a country but a civilization has been enriched by this publication.” Konrad assessed the volume as “a unique statement unrivaled in its potential impact.” Shuman, a professor of library science, noted that “this atlas, when complete, should stand as a model to be emulated by all other nations, whenever possible.” Pye, writing in the [British] Geographical Journal stated that “it is difficult to imagine that it could be even remotely paralleled in the foreseeable future.” Volume III of the Atlas appeared in 1990 and again won plaudits. Reviewers obviously felt that the high standards set by the first volume had been maintained.
This study aims to compare linear programming and stable marriage approaches to the personnel assignment problem under conditions of uncertainty. Robust solutions should…
This study aims to compare linear programming and stable marriage approaches to the personnel assignment problem under conditions of uncertainty. Robust solutions should exhibit reduced variability of solutions in the presence of one or more additional constraints or problem perturbations added to some baseline problems.
Several variations of each approach are compared with respect to solution speed, solution quality as measured by officer-to-assignment preferences and solution robustness as measured by the number of assignment changes required after inducing a set of representative perturbations or constraints to an assignment instance. These side constraints represent the realistic assignment categorical priorities and limitations encountered by army assignment managers who solve this problem semiannually, and thus the synthetic instances considered herein emulate typical problem instances.
The results provide insight regarding the trade-offs between traditional optimization and heuristic-based solution approaches.
The results indicate the viability of using the stable marriage algorithm for talent management via the talent marketplace currently used by both the U.S. Army and U.S. Air Force for personnel assignments.