Review
Management
Christine Mitter, Michael Kuttner, Christine Duller, Petra Sommerauer
Summary: This paper reviews the influence of different dimensions of national culture on management control systems (MCS) based on a comprehensive sample of 43 peer-reviewed journal articles. The results show that Hofstede's cultural dimensions theory dominates the research field and most sample articles confirm the influence of national culture on MCS. It is found that the research lacks a holistic and comprehensive analysis of the interplay between national culture and the elements of MCS, and comparability of the results is hindered by diverging research designs, contextual factors, and shallow classification of national culture.
REVIEW OF MANAGERIAL SCIENCE
(2023)
Review
Green & Sustainable Science & Technology
M-Chukri Idris, Alptekin Durmusoglu
Summary: Innovation management systems/standards play a crucial role in establishing an innovation culture within organizations, but a comprehensive synthesis of relevant contributions in management literature is still lacking. This review aims to address this gap and outline future research directions in the field of innovation management.
Review
Green & Sustainable Science & Technology
Lucian Ispas, Costel Mironeasa, Alessandro Silvestri
Summary: This paper aims to highlight the specific risks encountered when implementing management systems in organizations, particularly those associated with systems management and integrated management systems. The study reviews literature on risk management in the industrial sector, presents a synthesis of risk-based thinking, and discusses the benefits, barriers, and strategies of risk management. The paper also includes recommendations and proposals for future research.
Review
Economics
Miriam Breitenstein, Duc Khuong Nguyen, Thomas Walther
Summary: Financial institutions can reduce risk exposure by committing to environmental responsibility and performance, while corporate managers are incentivized to adopt more proactive environmental policies and practices due to an increase in willingness to assess climate-related financial risks.
JOURNAL OF ECONOMIC SURVEYS
(2021)
Review
Health Care Sciences & Services
Marcio Jose Sembay, Douglas Dyllon Jeronimo de Macedo, Laercio Pioli Junior, Regina Maria Maciel Braga, Antonio Sarasa-Cabezuelo
Summary: The article aims to understand the structures of different methods, techniques, models, methodologies, and technologies related to provenance data management in health information systems (HISs) through a systematic literature review (SLR). The SLR included 14 studies that met the inclusion criteria, and an additional 3 studies were added through snowballing. Most of the selected studies were published as conference papers and utilized data provenance models from the PROV family, combined with technologies such as blockchain and middleware. Challenges in the management of provenance data in HISs include lack of technological structure, data interoperability problems, and technical unpreparedness of professionals. The conclusion highlights the existence of various methods, techniques, models, and combined technologies, proposing a taxonomy for researchers to enhance their understanding of provenance data management in HISs.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Review
Engineering, Industrial
Naila Mendes, Jose Geraldo Vidal Vieiraa, Aline Patricia Mano
Summary: This paper provides a systematic literature review on risk management technological advances in the aviation sector, focusing on proactive, interactive, and predictive measures. The findings suggest that current risk tools and models are reactive, but efforts have been made to study proactive, interactive, and predictive analysis methods. The aviation sector has the opportunity to use and develop advanced data analysis tools or artificial intelligence for more predictive risk mitigation.
Review
Computer Science, Information Systems
Liao Chenya, Eeydzah Aminudin, Suzila Mohd, Loh Seng Yap
Summary: With the development of the global economy and the advancement of artificial intelligence, integrating smart management methods into project management is crucial for the construction industry. This study aims to identify the gaps and future trends in intelligent risk management through a systematic literature review. The analysis of 436 articles using scientometric software revealed that China had the highest number of publications, while the United States was the most influential country in this field. The study also discovered five research gap areas and proposed future research trends, including developing a digital management platform for intelligent construction management and risk management, and utilizing machine learning techniques to identify and categorize characteristic construction risk factors.
Review
Environmental Sciences
David Cabana, Lena Roelfer, Prosper Evadzi, Louis Celliers
Summary: Climate change poses severe risks to coastal ecosystems and communities worldwide. Implementing climate adaptation policies in coastal areas is still in the early stages, and there are several research gaps that need to be addressed. This paper analyzes 650 peer-reviewed empirical research studies on coastal climate adaptation and identifies areas where future research can improve knowledge and enhance the ability of coastal communities to adapt to climate change.
Review
Computer Science, Information Systems
Shaymaa Mamdouh Khalil, Hayretdin Bahsi, Tarmo Korotko
Summary: This systematic literature review explores the existing threat modeling methodologies for Industrial Control Systems (ICSs) and highlights the importance of validation in ensuring their effectiveness. The study reveals that current ICS threat modeling approaches lack validation and proposes the development and application of better validation metrics.
COMPUTERS & SECURITY
(2024)
Review
Computer Science, Artificial Intelligence
Sonia Farhana Nimmy, Omar K. Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi
Summary: This paper emphasizes the importance of managing operational disruptions for the success of supply chain operations and the necessity of using explainable AI methods to manage operational risks. The research also highlights the shortcomings of current techniques and provides inspiration for future research directions.
KNOWLEDGE-BASED SYSTEMS
(2022)
Review
Biology
Tayanah O'Donnell
Summary: This paper conducts a systematic literature review of managed and planned retreat, revealing a significant increase in scholarly research papers on the topic in the past 5 years. The findings highlight the emphasis on regional or local case studies exploring governance, policy, and institutional factors across various geographies. The prevalence of neoliberal tendencies in property rights and market interventions, such as compensation schemes, is also discussed, underscoring the importance of engaging with political economy scholarship in climate change adaptation.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Review
Health Care Sciences & Services
Ayogeboh Epizitone, Smangele Pretty Moyane, Israel Edem Agbehadji
Summary: The deployment of health information systems has been driven by the ongoing transformation and digitalization in healthcare. The global instability in various sectors has significantly influenced the need and potential of these systems in healthcare. Research studies have highlighted the shortcomings of these systems, which have hindered their ability to revolutionize healthcare.
Review
Oceanography
Milica Predragovic, Christopher Cvitanovic, Denis B. Karcher, Matthew D. Tietbohl, U. Rashid Sumaila, Barbara Horta e Costa
Summary: Climate change presents a significant challenge to marine ecosystems and species globally, particularly in European seas. However, there is a lack of comprehensive research on the potential impacts on commercially important and threatened species, hindering effective fisheries management.
OCEAN & COASTAL MANAGEMENT
(2023)
Review
Chemistry, Multidisciplinary
Jakub Belter, Marek Hering, Pawel Weichbroth
Summary: This study fills the research gap of motion trajectory prediction methods in Warehouse Management Systems by conducting a systematic literature review. Based on data collected from Google Scholar, the review covers the period from 2016 to 2023, and identifies five categories of prediction methods: Deep Learning methods, probabilistic methods, methods for solving the Travelling-Salesman problem (TSP), algorithmic methods, and others. The analysis provides an overview of state-of-the-art methods, stimulating further research and development in this field.
APPLIED SCIENCES-BASEL
(2023)
Review
Business
Assunta Di Vaio, Rosa Palladino, Alberto Pezzi, David E. Kalisz
Summary: This study investigates the role of digital innovation in knowledge management systems through bibliometric analysis, revealing the significant impact of digital innovation on business models and performance, particularly in terms of the relationship between innovation and sustainability. Additionally, the research highlights the importance of implementing new knowledge creation and sharing measures to support global and inclusive growth.
JOURNAL OF BUSINESS RESEARCH
(2021)