Assessing Canadian Intelligence Literature: 1980 - 2000
In: International journal of intelligence and counterintelligence, Band 14, Heft 1, S. 49-61
ISSN: 1521-0561
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In: International journal of intelligence and counterintelligence, Band 14, Heft 1, S. 49-61
ISSN: 1521-0561
In: International journal of intelligence and counterintelligence, Band 14, Heft 1, S. 49-61
ISSN: 0885-0607
In: The SAIS review of international affairs / the Johns Hopkins University, the Paul H. Nitze School of Advanced International Studies (SAIS), Band 28, Heft 1, S. 195-198
ISSN: 1945-4724
In: SAIS review, Band 28, Heft 1, S. 195
In: Military Affairs, Band 48, Heft 2, S. 97
World Affairs Online
In: Journal of hospitality marketing & management, Band 31, Heft 2, S. 145-175
ISSN: 1936-8631
In: Armed forces & society: official journal of the Inter-University Seminar on Armed Forces and Society : an interdisciplinary journal, Band 5, Heft 1, S. 31-52
ISSN: 0095-327X
H. H. Ransom ("Strategic Intelligence and Foreign Policy," World Politics 1974, 5, 27, Oct, 131-146) has classified the literature of intelligence as involving three approaches: memoirs, muckraking, & objective analysis. Before the 1960s, most works were either friendly to or objective toward intelligence operations. During the Vietnam era the tone of the literature became consistently hostile. With the mid-1970s, reactions against this unrelieved hostility began to emerge, seeking a more balanced view. Overall, the period of criticism may have served to strengthen the intelligence community; that it is not out of control is shown by the fact that its critics are still alive & well. W. H. Stoddard.
In: Foresight: the journal of future studies, strategic thinking and policy, Band 25, Heft 2, S. 264-286
ISSN: 1465-9832
Purpose
The purpose of this study is to present a systematic literature review of academic peer-reviewed articles in English published between 2005 and 2021. The articles were reviewed based on the following features: research topic, conceptual and theoretical characterization, artificial intelligence (AI) methods and techniques.
Design/methodology/approach
This study examines the extent to which AI features within academic research in retail industry and aims to consolidate existing knowledge, analyse the development on this topic, clarify key trends and highlight gaps in the scientific literature concerning the role of AI in retail.
Findings
The findings of this study indicate an increase in AI literature within the field of retailing in the past five years. However, this research field is fairly fragmented in scope and limited in methodologies, and it has several gaps. On the basis of a structured topic allocation, a total of eight priority topics were identified and highlighted that (1) optimizing the retail value chain and (2) improving customer expectations with the help of AI are key topics in published research in this field.
Research limitations/implications
This study is based on academic peer-reviewed articles published before July 2021; hence, scientific outputs published after the moment of writing have not been included.
Originality/value
This study contributes to the in-depth and systematic exploration of the extent to which retail scholars are aware of and working on AI. To the best of the author's knowledge, this study is the first systematic literature review within retailing research dealing with AI technology.
In: Oxford Research Encyclopedia of International Studies
"Intelligence Analysis: Once Again" published on by Oxford University Press.
The aim of this paper is to provide an overview on how artificial intelligence is shaping the digital era, in policy making and governmental terms. In doing so, it discloses new opportunities and discusses its implications to be considered by policy-makers. The research uses a systematic literature review, which includes more than one technique of data analysis in order to generate comprehensiveness and rich knowledge, we use: a bibliometric analysis and a content analysis. While artificial intelligence is identified as an extension of digital transformation, the results suggest the need to deepen scientific research in the fields of public administration, governmental law and business economics, areas where digital transformation still stands out from artificial intelligence. Although bringing together public and private sectors, to collaborate in the public service delivery, presents major advantages to policy makers, evidence has also shown the existence of negative effects of such collaboration. ; info:eu-repo/semantics/publishedVersion
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