Article
Computer Science, Information Systems
Na Liu, Robert J. Kauffman
Summary: Data analytics play a crucial role in chronic disease management, focusing on the information needs of both patients and healthcare providers to support informed decision-making.
INFORMATION & MANAGEMENT
(2021)
Article
Management
Krishna Chaitanya Balthu, Ben Clegg
Summary: This paper demonstrates the effectiveness of action research-based interventions in bringing about change in the professional service environment, particularly within the legal service sector in the UK. By applying systems thinking and a novel methodology, the research generated new knowledge and practical implications that can benefit various professional service operations.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2021)
Article
Management
Marshall Fisher, Santiago Gallino, Serguei Netessine
Summary: This study introduces a new method for determining retail store associate staffing levels at the individual store level, demonstrating its effectiveness through historical data and field testing. The impact of staffing levels on revenue was found to vary greatly by store. By implementing this method, retailers can increase revenue and profitability through better labor management.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2021)
Article
Business
Jiju Antony, Michael Sony
Summary: Although quality is everyone's responsibility, quality management practitioners play a key role in contemporary organizations. A survey of 1500 subject matter experts revealed that over 36% of practitioners have never taken a quality management course at the university level, and over 40% of quality engineers and managers have received less than a week of training. Additionally, over 60% of professionals specializing in quality management have never studied quality engineering in their university education. The study also identified the top three challenges faced by quality management practitioners in contemporary organizations.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Computer Science, Theory & Methods
Yudong Tao, Chuang Yang, Tianyi Wang, Erik Coltey, Yanxiu Jin, Yinghao Liu, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu, Steven Luis
Summary: The COVID-19 pandemic has had a significant global impact, with over 440 million confirmed cases and almost 6 million reported deaths as of March 2022. Measures have been implemented to slow down and limit the virus's spread, and efforts have been made in disaster recovery, mitigation, and preparation. Data-driven techniques have been applied across various domains, but a comprehensive survey of these techniques for pandemic management is still lacking. This article reviews existing data analysis and visualization techniques for COVID-19 and future pandemic management, highlighting the four phases of disaster management and discussing open issues and future directions for data-driven pandemic management.
ACM COMPUTING SURVEYS
(2023)
Editorial Material
Public Administration
Zuzana Murdoch, Muiris MacCarthaigh, Benny Geys
Summary: Many fundamental research questions in public administration involve individual or organizational temporal dynamics. However, the field still lacks sufficient attention to time and temporal dynamics in theoretical, methodological, and empirical research. This is a major shortcoming that hinders the transformative potential of longitudinal research. This symposium aims to promote a longitudinal shift in the study of public administration, emphasizing the need to apply a temporal lens in order to better understand and theorize public administrations and the bureaucrats within them.
PUBLIC ADMINISTRATION REVIEW
(2023)
Review
Ecology
Gretchen Sneegas, Sydney Beckner, Christian Brannstrom, Wendy Jepson, Kyungsun Lee, Lucas Seghezzo
Summary: This study conducted a comprehensive analysis of environmental sustainability Q-methodology literature using bibliometric analysis and systematic review, revealing heterogeneity and reporting gaps in the field, and proposing recommendations for improving research reporting and promoting up-to-date Q-methodology practices and innovations.
ECOLOGICAL ECONOMICS
(2021)
Article
Computer Science, Artificial Intelligence
Alex Koohang, Jeretta Horn Nord
Summary: This study proposed and built a research model to explain the impact of specific critical components on performance in organizations that utilize data analytics. The results showed strong support for the model and emphasized the significant role of DA leadership, DA management capabilities, and DA talent in achieving performance. The study discussed theoretical and practical implications of the findings and provided recommendations for future research.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Raja Wasim Ahmad, Khaled Salah, Raja Jayaraman, Ibrar Yaqoob, Mohammed Omar
Summary: Smart cities have the potential to address environmental issues through improved waste management, but current systems are manual and centralized, making them susceptible to manipulation and single point of failure. Blockchain technology plays a key role in enhancing waste management within smart cities by providing traceability, immutability, transparency, and audit features in a decentralized and secure manner. This technology offers opportunities for real-time tracking of waste, compliance with waste treatment laws, efficient resource management, and protection of waste documentation.
Article
Nursing
Alejandra Rojas-Rivera, Natalia Quiroga, Araceli Echeverria, Francisca Munoz-Larrondo, Carolina Concha-Gutierrez, Alejandra Galiano, Ana Larrain, Beatriz Sanchez Herrera
Summary: This study described the process of developing a Professional Practice Model by a Nursing School and Nursing Department. The study identified the core elements of the nursing professional practice model through qualitative and quantitative methods.
Article
Multidisciplinary Sciences
Bader Alhafi Alotaibi, Hazem S. Kassem
Summary: The partnerships between agricultural cooperatives and other actors are crucial for addressing development challenges and ensuring cooperative sustainability. This study analyzed the characteristics and success levels of these partnerships, with a focus on partnership configuration, objectives, types, stages, communication methods, achieved outcomes, evaluation, and sustainability. The findings revealed that agricultural cooperatives in Saudi Arabia mainly collaborated with the public sector to provide farming inputs, equipment, and capacity building. More than half of the partnerships were strategic in nature, and the study provides valuable insights for policy-makers on future sustainability collaborations.
Article
Behavioral Sciences
Rouven Kanitz, Katerina Gonzalez
Summary: TMCM refers to using digital technologies to facilitate change implementation. There is a lack of theoretical and empirical research on TMCM. It brings both valuable benefits and new risks in terms of adaptiveness, personalization, and openness of the change process.
JOURNAL OF APPLIED BEHAVIORAL SCIENCE
(2021)
Editorial Material
Multidisciplinary Sciences
Franco Montalto
Summary: Designing courses based on people's true concerns is beneficial for both students and society.
Review
Green & Sustainable Science & Technology
So-Hui Park, Dong-Gu Lee, Jin-Sung Park, Jun-Woo Kim
Summary: This paper conducts a systematic survey on research papers applying quantitative data analytics algorithms in the legal domain. The key findings include the dramatic increase in research papers on Legal Tech, popular use of supervised learning techniques in legal judgment data, the importance of preprocessing legal documents, widespread application of artificial neural networks, and the multidisciplinary nature of data analytics-based Legal Tech research.
Article
Computer Science, Interdisciplinary Applications
Simon Buckingham Shum, Allison Littlejohn, Kirsty Kitto, Ruth Crick
Summary: Learning analytics has emerged at the intersection of data science, learning sciences, human-centered and instructional design, and organizational change. However, there is a weakness in applying learning analytics to work-integrated learning. This article proposes the adaptation of the Knowledge-Agency Window framework to address this gap and emphasizes the importance of professional agency in effective and ethical use of learning analytics.
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES
(2022)
