Browsing by Author "Mac Cawley, Alejandro F."

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    Determinants of ICT Adoption and Performance in Healthcare: The Role of Individual Attributes and Organizational Contextual Factors
    (Institute of Electrical and Electronics Engineers Inc., 2025) Jose, Abey; Mac Cawley, Alejandro F.; Enberg Gaete, Luis; Tortorella, Guilherme Luz; Vassolo, Roberto; Kumar, Manisha
    © 2025 The Authors.Implementing Information and Communication Technologies (ICTs) in the healthcare sector faces several barriers, and the pace of adoption may vary depending on several factors, including individual attributes such as competence and experience, along with contextual factors such as size, type, and location of the organization. We conducted a global survey involving healthcare professionals (n =204) to understand the role of various determinants in adopting ICTs and their implications for organizational performance. Data was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) and multiple regression for micro-level constructs. Findings indicate that while individual attributes positively influence organizational performance, the direct impact of ICT adoption on performance is limited. While front-end technologies enhance performance, base technologies may occasionally hinder it. This stresses the necessity of thoroughly assessing specific technology applications to ensure they operate effectively. Furthermore, the relationships between competence and experience in ICT adoption were not statistically significant, indicating that individual attributes may have less influence on ICT adoption; this implies that technological advancements typically occur through management decisions in collaboration with the relevant IT department, emphasizing the importance of increased user participation and the process of adoption and effective use, which are distinct aspects while evaluating individual aspects. Future research should focus on detailed and specific applications of technology and nuanced, long-term performance outcomes.
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    Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry
    (Springer Cham, 2024) Garafulic, Max; Mac Cawley, Alejandro F.; Péra, Thiago Guilherme; João, Abner Matheus; Caixeta Filho, José Vicente; Hampel, David; Tláskal, Martin; Janová, Jitka; Pires Ribeiro, João; Cruz, Lourenço; Barbosa Póvoa, Ana; Peinado Guerrero, Miguel; Ahumada, Omar; Ulloa, Rodrigo; Hernández Cruz, Xaimarie; Neal, Grace; Jayani, Abhay; Villalobos, J. Rene; Oliveira, Anderson; Firmino, Fabricio; Vieira Cruz, Pedro; Oliveira Sampaio, Jonice de; Serra da Cruz, Sérgio Manuel; Albornoz, Víctor M.; Zamora, Gabriel E.; Soto Silva, Wladimir E.; González Araya, Marcela C.; PlàAragonés, Lluís M.; Albornoz, Víctor M.; Mac Cawley, Alejandro; Plà-Aragonés, Lluis M.
    This book explores optimization under uncertainty and related applications in agriculture, sustainable supply chains and the agrifood industry. Rapid changes in the primary sector are leading to more and more industrialized structures, which require optimization methods in order to cope with today’s challenges. Addressing uncertainty in the agrifood industry may lead to more robust supply chain designs or to diversified risk. Sustainability requires interaction with the environmental or social sciences. This book bridges the gap between optimization theory, uncertainty, sustainability and primary-sector applications (mainly in the agriculture and food industry, but also fisheries, forestry and natural resources in general). Although it has been a major challenge for the operations research community, this urgently needed interdisciplinary collaboration is not adequately covered in most current curricula in applied mathematics, economics or (agronomic/industrial/forest) engineering. This book highlights research that can help fill this gap. The individual chapters cover applications of stochastic integer linear programming and multicriteria decision methods in agriculture. The topics addressed include uncertainty in areas such as the sugar cane industry, pig farming, and cold storage for perishable products. Large-scale sustainable food production is a growing concern; this book offers solutions to help meet global demand in agriculture by using and improving the methods of optimization theory and operations research.