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102 pages, The Herald of Asia library of contemporary history ; no. 7 ; https://digitalrepository.trincoll.edu/moore/1037/thumbnail.jpg

This paper examines whether CEO risk aversion – proxied by their political affiliation – explains the method used to manage earnings. We argue that, even though real earnings management can have severe long-term consequences for firm performance, Republican managers are likely to prefer real over accruals-based earnings management because the former incurs significantly lower litigation risk costs than the latter and is relatively more difficult to detect. Based on a sample of more than 20,000 firm-year observations, we find that firms led by Republican (i.e. more risk averse) CEOs tend to manage their earnings through real activities manipulation, while those led by Democratic (i.e. more risk taking) CEOs tend to favor accruals-based earnings management. We also show that the positive (negative) relation between Republican-leaning managers and real (accruals-based) is more positive (less negative) for CEOs whose compensation is more oriented towards risk-taking.

This paper examines whether CEO risk aversion – proxied by their political affiliation – explains the method used to manage earnings. We argue that, even though real earnings management can have severe long-term consequences for firm performance, Republican managers are likely to prefer real over accruals-based earnings management because the former incurs significantly lower litigation risk costs than the latter and is relatively more difficult to detect. Based on a sample of more than 20,000 firm-year observations, we find that firms led by Republican (i.e. more risk averse) CEOs tend to manage their earnings through real activities manipulation, while those led by Democratic (i.e. more risk taking) CEOs tend to favor accruals-based earnings management. We also show that the positive (negative) relation between Republican-leaning managers and real (accruals-based) is more positive (less negative) for CEOs whose compensation is more oriented towards risk-taking.

This article examines the model of digital era governance (DEG) in the light of the latest-wave of data-driven technologies, such as data science methodologies and artificial intelligence (labelled here DSAI). It identifies four key top-level macro-themes through which digital changes in response to these developments may be investigated. First, the capability to store and analyse large quantities of digital data obviates the need for data 'compression' that characterises Weberian-model bureaucracies, and facilitates data de-compression in data-intensive information regimes, where the capabilities of public agencies and civil society are both enhanced. Second, the increasing capability of robotic devices have expanded the range of tasks that machines extending or substituting workers' capabilities can perform, with implications for a reshaping of state organisation. Third, DSAI technologies allow new options for partitioning state functions in ways that can maximise organisational productivity, in an 'intelligent centre, devolved delivery' model within vertical policy sectors. Fourth, within each tier of government, DSAI technologies offer new possibilities for 'administrative holism' - the horizontal allocation of power and functions between organisations, through state integration, common capacity and needs-based joining-up of services. Together, these four themes comprise a third wave of DEG changes, suggesting important administrative choices to be made regarding information regimes, state organisation, functional allocation and outsourcing arrangements, as well as a long-term research agenda for public administration, requiring extensive and detailed analysis.

This study aimed to explore the attitudes of students of a higher education institution towards infopreneurship. The study emanated from observations that the widespread use of information technologies has created a new sector in the labor market – infopreneurship. The study adopted the case study research design based on focus group discussions to establish the students' attitudes towards infopreneurship. The participants for the focus groups were students of the Information Science department at the University of Technology, Cape Town. Data collection during the focus group discussions was based on unstructured interviews. Quantitative data analysis was applied based on data reduction from codes to categories. An enterprising attitude (26.4% code frequency) dominated the positive responses while negative attitudes were mainly reflected by a critical attitude (20.8% code frequency) towards infopreneurship. While it appeared that positive attitudes were more prevalent than negative attitudes, there were notable observations that the respondents were critical or neutral towards the essence of infopreneurship in the South African context. It was found that the belief that infopreneurship is not a viable form of employment was still prevalent. Some respondents believed that employment means working for someone. They felt that there is greater respect in being employed than engaging in infopreneurship. Some respondents, however, appear to have stronger entrepreneurial orientations and felt that infopreneurship offers the best employment opportunities. The study recommends changes in higher education curricula and the creation of a stimulating environment for infopreneurship.

Traditionally, the policy sciences exhibited a paradoxical relationship to public behavior: arguing in theory that it was rational in a utilitarian sense and could be modelled as such while at the same time recognizing its irrational nature in practice without attempting to reconcile this contradiction. A recent behavioral turn among policy scholars has broken the discursive hegemony of traditional hedonic compliance-deterrence models, however, placing informal institutions such as norms, irrationalities and collective action at the center of the policy research agenda. To date there has been little theorizing of the implications of this turn for the policy-making nature of the state, as well as its extent and nature. Addressing these gaps we conduct a bibliometric review, which finds that the number of behaviorally-oriented articles on policy instruments have been increasing in number and relevance. This provides evidence of a behavioral turn in policy studies as well as documenting the emergence of a behavioral state, that is one which is more inclined to reconcile policy-making theory and practice by embracing the irrationalities of policy actors, through the creation of nudge and behavioral units across a wide range of domains, a shift in emphasis from the supply of policy to the demands of policy targets. However, the study shows the impact of this turn is geographically and sectorally uneven and will become more generalized in the future only if more states embrace this 'turn'.

Introduction Clinical decision support science is expanding to include integration from broader and more varied data sources, diverse platforms and delivery modalities, and is responding to emerging regulatory guidelines and increased interest from industry.Objective Evaluate key advances and challenges of accessing, sharing, and managing data from multiple sources for development and implementation of Clinical Decision Support (CDS) systems in 2016-2017.Methods Assessment of literature and scientific conference proceedings, current and pending policy development, and review of commercial applications nationally and internationally.Results CDS research is approaching multiple landmark points driven by commercialization interests, emerging regulatory policy, and increased public awareness. However, the availability of patient-related "Big Data" sources from genomics and mobile health, expanded privacy considerations, applications of service-based computational techniques and tools, the emergence of "app" ecosystems, and evolving patient-centric approaches reflect the distributed, complex, and uneven maturity of the CDS landscape. Nonetheless, the field of CDS is yet to mature. The lack of standards and CDS-specific policies from regulatory bodies that address the privacy and safety concerns of data and knowledge sharing to support CDS development may continue to slow down the broad CDS adoption within and across institutions.Conclusion Partnerships with Electronic Health Record and commercial CDS vendors, policy makers, standards development agencies, clinicians, and patients are needed to see CDS deployed in the evolving learning health system.

Georg Thieme Verlag KG Stuttgart. INTRODUCTION: Clinical decision support science is expanding to include integration from broader and more varied data sources, diverse platforms and delivery modalities, and is responding to emerging regulatory guidelines and increased interest from industry.OBJECTIVE: Evaluate key advances and challenges of accessing, sharing, and managing data from multiple sources for development and implementation of Clinical Decision Support (CDS) systems in 2016-2017.METHODS: Assessment of literature and scientific conference proceedings, current and pending policy development, and review of commercial applications nationally and internationally.RESULTS: CDS research is approaching multiple landmark points driven by commercialization interests, emerging regulatory policy, and increased public awareness. However, the availability of patient-related "Big Data" sources from genomics and mobile health, expanded privacy considerations, applications of service-based computational techniques and tools, the emergence of "app" ecosystems, and evolving patient-centric approaches reflect the distributed, complex, and uneven maturity of the CDS landscape. Nonetheless, the field of CDS is yet to mature. The lack of standards and CDS-specific policies from regulatory bodies that address the privacy and safety concerns of data and knowledge sharing to support CDS development may continue to slow down the broad CDS adoption within and across institutions.CONCLUSION: Partnerships with Electronic Health Record and commercial CDS vendors, policy makers, standards development agencies, clinicians, and patients are needed to see CDS deployed in the evolving learning health system.

Introduction Clinical decision support science is expanding to include integration from broader and more varied data sources, diverse platforms and delivery modalities, and is responding to emerging regulatory guidelines and increased interest from industry.Objective Evaluate key advances and challenges of accessing, sharing, and managing data from multiple sources for development and implementation of Clinical Decision Support (CDS) systems in 2016-2017.Methods Assessment of literature and scientific conference proceedings, current and pending policy development, and review of commercial applications nationally and internationally.Results CDS research is approaching multiple landmark points driven by commercialization interests, emerging regulatory policy, and increased public awareness. However, the availability of patient-related "Big Data" sources from genomics and mobile health, expanded privacy considerations, applications of service-based computational techniques and tools, the emergence of "app" ecosystems, and evolving patient-centric approaches reflect the distributed, complex, and uneven maturity of the CDS landscape. Nonetheless, the field of CDS is yet to mature. The lack of standards and CDS-specific policies from regulatory bodies that address the privacy and safety concerns of data and knowledge sharing to support CDS development may continue to slow down the broad CDS adoption within and across institutions.Conclusion Partnerships with Electronic Health Record and commercial CDS vendors, policy makers, standards development agencies, clinicians, and patients are needed to see CDS deployed in the evolving learning health system.

Findings from the 2008-2009 Transport Canada project, Methodologies for Identifying and Ranking Sustainable Transport Practices in Urban Regions (Wellar, 2008d) reveal that the research methodologies, methods, and techniques from a number of disciplines apply to the process of making decisions about sustainable transport practices. Evidence in that regard is provided by: 1) the results of keyword-based literature searches; 2) the responses of municipal governments to a survey on the methodologies, methods, and techniques that are used; and 3), the commentaries of experts on the methods and techniques that could be used. The findings are presented in eleven project reports which can be accessed at: http://www.wellarconsulting.com/. This presentation first outlines the major elements and findings of the Transport Canada project. We then suggest how the Operations Research or Operational Research, and Management Sciences (OR/MS) fields could build on that project to enhance the OR/MS contribution to the body of methods and techniques used by municipal governments in making decisions about identifying, adopting, and implementing sustainable transport (ST) practices. The third part of the presentation introduces several OR/MS-based initiatives that we believe could significantly expand the research agenda that has been initiated by the Transport Canada project. Our emphasis in this regard is on drawing attention to what we perceive to be fundamental needs that arise as a result of the empirical lessons learned from the Transport Canada project.

With a brief history review of China's participation in the 20th century Arctic activities, the article discusses basic directions of China's Arctic interests in the 21th century, examines their legal grounds and mechanisms for their pursuit. Considering China's Arctic interests related to climate change, economic, scientific and political activities, the author emphasizes that the latter primarily serve its desire for a better understanding of climate change dynamics and economic interest. While elaborating on legal issues, the author also admits the existence of legal disputes that impede the pursuit of Chinese interests. Furthermore, when introducing the mechanisms for China's Arctic interests pursuit as a complex which can be achieved in governmental, academic and commercial aspects, the obstructive practical factors in the process of implementation, and the shortcomings of the according mechanisms are discussed. Attempting to analyze the perspective and summarize the basic position of Chinese government on the present issue, the author adopts the methods of history research, document research, interdisciplinary research and comparison, and draws the conclusion that, as a non-Arctic state, China does not regard Arctic as a foreign policy priority and raises no claims in the region. China shows respect to the sovereignty and sovereign rights of Arctic countries, while insisting that non-Arctic states should also exercise the right of scientific research and navigation. To develop a partnership of cooperation, Arctic and non-Arctic states should recognize and respect each other's rights under the international law. China endorses UNCLOS to be the main legal instrument of the Arctic Governance and considers the Arctic Council as the most influential international forum promoting the development of Arctic Governance and cooperation. Unprepared as China has been to form its official Arctic policy, it will continue to actively participate in all aspects of the governance and cooperation in the region.

The development of communication studies has been a lively process of adoption and integration of theoretical constructs from Pragmatism, Critical Theory and Cultural Studies. Critical Communication Studies describes the intellectual and professional forces that have shaped research interests and formed alliances in the pursuit of particular goals. Hanno Hardt reflects on the need to come to terms with the role of history in academic work and locates the intellectual history within the context of competing social theories. The book provides a substantive foundation for understanding the field