Public Security Sentiment Analysis on Social Web

2021 ◽  
Vol 13 (1) ◽  
pp. 1-20
Author(s):  
Victor Diogho Heuer de Carvalho ◽  
Ana Paula Cabral Seixas Costa
Keyword(s):  
Literature Review ◽  
Sentiment Analysis ◽  
Research Agenda ◽  
Web Mining ◽  
Initial Time ◽  
Public Security ◽  
Social Web ◽  
Future Studies ◽  
Analytical Process ◽  
Literature Material

This article presents (1) the results of a literature review on social web mining and sentiment analysis on public security; (2) the idea of a framework for the analytical process involved in the literature review themes; and (3) a research agenda with a perspective for future studies, considering some elements of the analytical process. The literature review was based on searches of five databases: Scopus, IEEE Xplore, Web of Science, ScienceDirect, and Springer Link. Search strings were applied to retrieve literature material of four kinds, without defining an initial time milestone, to get the historical register of publications associated with the main thematic. After some filtering, primary and secondary findings were separated, enabling the identification of elements for the framework. Finally, the research agenda is presented, containing a set of three research artifacts related to the proposed framework.

scholarly journals Integrated reporting and stakeholder management: a research agenda,

2021 ◽  
Author(s):  
Anne Carolina dos Santos ◽  
Kelli Juliane Favato ◽  
Marguit Neumann
Keyword(s):  
Content Analysis ◽  
Literature Review ◽  
Research Agenda ◽  
Stakeholder Management ◽  
Future Research ◽  
Integrated Reporting ◽  
Future Studies ◽  
Reporting Framework ◽  
International Integrated Reporting Council

Abstract The purpose of this article was to propose an agenda for future research on stakeholder management in integrated reporting. Framework 1.0 of integrated reporting addresses the management of stakeholders as a routine in the course of business, without further details. In turn, the academy can contribute in this regard. Integrated reporting is a recent development achieved after 30 years (or more) of attempts to effectively expand accountability to stakeholders. The engagement with stakeholders produces successful results in the long term, highlighting the need to indicate to them the value of using integrated reports. Due to the absence of details in Framework 1.0, it is up to academics to actively and cautiously monitor its development and implementation. This article’s contribution is to raise research to bring the practice of integrated reporting closer, as well as generate discussions to involve academics, the International Integrated Reporting Council, national councils, and report writers. Thus, the integrated report was discussed considering that its framework must be updated (how to do it) to impact the practice (the act of doing it). For this, we used a bibliographic methodology and content analysis. We also used the literature review methodology and content analysis. We mapped 11 factors, established 10 qualitative propositions, and 35 insights for future studies. The results indicate that the stakeholder management may have reached its potential in a ceremonial way, but it lacks definitions. For the academy and the International Integrated Reporting Council, the study contributes by mapping factors and suggesting the implementation of guidelines and debates with local commissions to overcome the deficiencies pointed out by this study.

scholarly journals Artificial Intelligence and Business Value: a Literature Review

2021 ◽  
Author(s):  
Ida Merete Enholm ◽  
Emmanouil Papagiannidis ◽  
Patrick Mikalef ◽  
John Krogstie
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Research Agenda ◽  
Business Value ◽  
Strong Increase ◽  
Order Effects ◽  
Organizational Setting ◽  
Future Studies ◽  
The Past ◽  
Holistic Understanding

AbstractArtificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order to gain business value following a deluge of data and a strong increase in computational capacity. Nevertheless, organizations are still struggling to adopt and leverage AI in their operations. The lack of a coherent understanding of how AI technologies create business value, and what type of business value is expected, therefore necessitates a holistic understanding. This study provides a systematic literature review that attempts to explain how organizations can leverage AI technologies in their operations and elucidate the value-generating mechanisms. Our analysis synthesizes the current literature and highlights: (1) the key enablers and inhibitors of AI adoption and use; (2) the typologies of AI use in the organizational setting; and (3) the first- and second-order effects of AI. The paper concludes with an identification of the gaps in the literature and develops a research agenda that identifies areas that need to be addressed by future studies.

scholarly journals Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

2021 ◽  
Vol 7 (1) ◽  
pp. 71
Author(s):  
Tan Yigitcanlar ◽  
Juan M. Corchado ◽  
Rashid Mehmood ◽  
Rita Yi Man Li ◽  
Karen Mossberger ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Local Government ◽  
Conceptual Framework ◽  
Research Agenda ◽  
Future Studies ◽  
Expert Team ◽  
Research Questions ◽  
Urban Problems ◽  
Technological Opportunities ◽  
Made In

The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a world with immense technological opportunities and at the same time enormous urbanization challenges, it is critical to adopt the principles of responsible urban innovation. These principles assure the delivery of the desired urban outcomes and futures. We contribute to the existing responsible urban innovation discourse by focusing on local government artificial intelligence (AI) systems, providing a literature and practice overview, and a conceptual framework. In this perspective paper, we advocate for the need for balancing the costs, benefits, risks and impacts of developing, adopting, deploying and managing local government AI systems in order to achieve responsible urban innovation. The statements made in this perspective paper are based on a thorough review of the literature, research, developments, trends and applications carefully selected and analyzed by an expert team of investigators. This study provides new insights, develops a conceptual framework and identifies prospective research questions by placing local government AI systems under the microscope through the lens of responsible urban innovation. The presented overview and framework, along with the identified issues and research agenda, offer scholars prospective lines of research and development; where the outcomes of these future studies will help urban policymakers, managers and planners to better understand the crucial role played by local government AI systems in ensuring the achievement of responsible outcomes.

scholarly journals From Supply Chain 4.0 to Supply Chain 5.0: Findings from a Systematic Literature Review and Research Directions

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 49
Author(s):  
Guilherme F. Frederico
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Industry 4.0 ◽  
Current Knowledge ◽  
Research Directions ◽  
The Subject ◽  
Strategy Innovation ◽  
Transition Issues

The main purpose of this paper is to present what the Industry 5.0 phenomenon means in the supply chain context. A systematic literature review method was used to get evidence from the current knowledge linked to this theme. The results have evidenced a strong gap related to Industry 5.0 approaches for the supply chain field. Forty-one (41) publications, including conference and journal papers, have been found in the literature. Nineteen (19) words, which were grouped in four (4) clusters, have been identified in the data analysis. This was the basis to form the four (4) constructs of Industry 5.0: Industry Strategy, Innovation and Technologies, Society and Sustainability, and Transition Issues. Then, an alignment with the supply chain context was proposed, being the basis for the incipient Supply Chain 5.0 framework and its research agenda. Industry 5.0 is still in an embryonic and ideal stage. The literature is scarce and many other concepts and discoveries are going to emerge. Although this literature review is based on few available sources, it provides insightful and novel concepts related to Industry 5.0 in the supply chain context. Moreover, it presents a clear set of constructs and a structured research agenda to encourage researchers in deploying further conceptual and empirical works linked to the subject herein explored. Organizations’ leadership, policymakers, and other practitioners involved in supply chains, and mainly those currently working with Industry 4.0 initiatives, can benefit from this research by having clear guidance regarding the dimensions needed to structurally design and implement an Industry 5.0 strategy. This article adds valuable insights to researchers and practitioners, by approaching the newest and revolutionary concept of the Industry 5.0 phenomenon in the supply chain context, which is still an unexplored theme.

Revealing the underlying drivers of CVC performance— a literature review and research agenda

2021 ◽  
Vol 23 (1) ◽  
pp. 67-109
Author(s):  
Gerwin Fels ◽  
Markus Kronberger ◽  
Tobias Gutmann
Keyword(s):  
Literature Review ◽  
Research Agenda

scholarly journals Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Sustainable Development Goals ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
2030 Agenda ◽  
Development Goals

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

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