scholarly journals Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda

2021 ◽  
pp. 101577
Author(s):  
Anneke Zuiderwijk ◽  
Yu-Che Chen ◽  
Fadi Salem
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Simone Cocciasecca ◽  
Giuseppe Grossi ◽  
Alessandro Sancino

PurposeThe purpose of this paper is to review previous research on public appointments to systematize existing knowledge, identify gaps and discuss implications for future research in this field.Design/methodology/approachThis paper is based on a systematic literature review, carried out using the Scopus database. We selected academic articles published in journals ranked in the 2018 CABS Academic Journal Guide plus public administration articles in journals classified by Google as falling within the areas of public policy and administration. The papers were analysed according to four categories: geographical area, theoretical framework, research method and organizational setting.FindingsResults show the lack of research regarding areas like Latin America or East Asia; from a theoretical viewpoint, given the lack of explicit theoretical approaches, future research should have more formal and clear theoretical frameworks. Moreover, given the dominance of case study and review/reflection studies, alternative research methods, such as surveys or mixed methods are suggested for future works.Research limitations/implicationsWe identify a new research agenda to revive the focus on public appointments as a tool for intra- and inter-organizational governance in the public sector. Specifically, we argue that how the process of public appointments is managed has huge democratic implications, and public managers have a key role to play in that respect by designing effective governance systems and organizational procedures. The selection of papers has been limited to articles published in peer- review journals ranked in the 2018 CABS Guide; no distinctions have been made regarding journals' positioning in the ranking. Moreover, this work takes a managerial and organizational approach, while the research on public appointments is clearly interdisciplinary, with previous contributions coming mainly from political scientists.Originality/valueDespite the relevant body of literature on this topic, this study represents the first manuscript to summarize the state of the art of this theme, providing a research agenda on this very relevant but quite neglected issue in public governance.


Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 49
Author(s):  
Guilherme F. Frederico

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.


2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili

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.


2019 ◽  
Vol 36 (4) ◽  
pp. 101392 ◽  
Author(s):  
Weslei Gomes de Sousa ◽  
Elis Regina Pereira de Melo ◽  
Paulo Henrique De Souza Bermejo ◽  
Rafael Araújo Sousa Farias ◽  
Adalmir Oliveira Gomes

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