Browsing by Author "Tortorella, Guilherme Luz"

Now showing 1 - 9 of 9
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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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    Digitalization of maintenance: exploratory study on the adoption of Industry 4.0 technologies and total productive maintenance practices
    (TAYLOR & FRANCIS LTD, 2022) Tortorella, Guilherme Luz; Saurin, Tarcisio Abreu; Fogliatto, Flavio Sanson; Mendoza, Diego Tlapa; Moyano-Fuentes, Jose; Gaiardelli, Paolo; Seyedghorban, Zahra; Vassolo, Roberto; Vergara, Alejandro F. Mac Cawley; Sunder, Vijaya M.; Sreedharan, V. Raja; Sena, Santiago A.; Forstner, Friedrich Franz; de Anda, Enrique Macias
    This paper analyzes the joint adoption of Industry 4.0 (I4.0) technologies and Total Productive Maintenance (TPM) practices in manufacturing firms. For that, we surveyed 335 practitioners from firms currently implementing TPM and I4.0, located in sixteen countries. The collected dataset was analyzed using sets of partial correlation analyses, obtained when controlling the effect of three contextual variables, all assessed at the firm level: (i) socio-economic context, (ii) technological intensity, and (iii) size. Pairs of TPM practices and I4.0 technologies with significant positive correlations in all partial correlation sets indicate positive trends in the adoption of elements in the pairs, regardless of context, and may be viewed as indicators of TPM practices and I4.0 technologies more prone to be integrated. Our results identified 67 pairs of I4.0 technologies and TPM practices meeting the significance criterion. Four TPM practices (fostering operator ownership, standardization of AM checks, setting 3M-machine/man/material-conditions, and constant search for the next generation of technology) and two I4.0 technologies (Internet-of-Things, and big data) appeared in 26 of the 67 pairs. The study unveiled trends in the integration of I4.0 and TPM, pointing to pairs whose joint adoption is predominant and indicating pathways to the digitalization of maintenance.
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    Healthcare 4.0: trends, challenges and research directions
    (2020) Tortorella, Guilherme Luz; Fogliatto, Flavio Sanson; Mac Cawley Vergara, Alejandro; Vassolo, Roberto; Sawhney, Rapinder
    This paper aims at examining the trends, challenges and theoretical gaps in the implementation of Healthcare 4.0 (H4.0) based on a scoping review of the literature. For that, we searched journal articles in four widely known databases and screened the retrieved articles to obtain a publications' portfolio. Our findings indicate that, despite the recency of the subject, research in H4.0 has been conducted in an interdisciplinary way with a diversified set of applications and functionalities. In terms of its implementation, H4.0 has been more commonly found in hospitals' information flows, especially the ones related to healthcare treatments. The identified implementation trends, however, neglect a more holistic approach for H4.0, which originated three main research directions for this topic. Although identified as a trending topic in the area of healthcare operations management, literature on H4.0 may be viewed as randomly conceived, lacking academic alignment and practical orientation based on a grounded theory, which we aim at providing with the present study.
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    Healthcare costs' reduction through the integration of Healthcare 4.0 technologies in developing economies
    (ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2020) Tortorella, Guilherme Luz; Fogliatto, Flavio Sanson; Esposto, Kleber Francisco; Mac Cawley, Alejandro Francisco; Vassolo, Roberto; Tlapa, Diego; Narayanamurthy, Gopalakrishnan
    This study aims at examining the effect of Healthcare 4.0 (H4.0) implementation on healthcare costs' reduction in hospitals located in developing economies. For that, 159 middle and senior leaders from hospitals located in Brazil, India, Mexico and Argentina were surveyed regarding their adoption level of H4.0 technologies and cost reduction improvements. Responses were analysed using multivariate data analysis techniques. Our findings indicate that the adoption of H4.0 technologies, empirically grouped into two different bundles (Sensing-Communication and Processing-Actuation), is positively related to healthcare costs' reduction and that the extent of such relationship may vary according to the bundle under analysis. Our results elucidate the impact of digital integration on healthcare costs, suggesting a cost-effective path based on H4.0 implementation. The identification of this relationship in hospitals located in developing economies evidences the benefits of healthcare digital transformation despite the challenging socioeconomic conditions, which has been contradictorily reported in previous studies.
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    How does artificial intelligence impact employees' engagement in lean organisations?
    (Taylor & Francis Ltd., 2024) Tortorella, Guilherme Luz; Powell, Daryl; Hines, Peter; Mac Cawley Vergara, Alejandro Francisco; Tlapa-Mendoza, Diego; Vassolo, Roberto
    Driven by the digital transformation currently pursued by organisations, artificial intelligence (AI) applications have become more frequent. Nevertheless, its impact on employees' behaviors and attitudes is still poorly known. As employees' engagement (EE) is a key element for a successful Lean Production (LP) implementation, there is the need to understand such AI's implications on EE in this scenario. This paper aims to investigate the impact of AI on EE in lean organisations. We performed a qualitative-empirical approach in which we first interviewed twelve academic experts to grasp the investigated problem. Then, we conducted a multi-case study in manufacturing organisations undergoing a LP implementation to refine such understanding based on the observation of real-world evidence. Identifying commonalities between these stages allowed the formulation of propositions for future theory testing and validation. Findings indicate that AI may positively impact EE dimensions (physical, cognitive, and emotional) in human-centred work environments, such as lean organisations, although not at the same extent. Results also suggest that employees' psychological conditions (safety, meaningfulness, and availability) are positively affected by the relationship between AI and EE. The demystification of AI's effect on EE helps practitioners anticipate potential issues that can impair the LP implementation in the Fourth Industrial Revolution era.
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    Implementing a material planning and control method for special nutrition in a Brazilian public hospital
    (WILEY, 2021) Alemsan, Najla; Tortorella, Guilherme Luz; Mac Cawley Vergara, Alejandro Francisco; Taboada Rodriguez, Carlos Manuel; Staudacher, Alberto Portioli
    This study aims to (i) propose a demand forecast model for special nutrition materials in the context of health services, and (ii) comparatively evaluate three inventory management and control systems (periodic review, continuous review and mixed) for special nutrition materials. For that, we carried out a case study in a Brazilian public teaching hospital where data and information collection were conducted over a span of 22 months (from January 2018 and were consolidated until October 2019). A six-step approach was followed to propose the demand forecasting models and, later, evaluate the inventory control systems for special nutrition materials. Results indicate that if the organization implements the proposed inventory management method, there could be savings of up to 33% in the stock values managed by the healthcare organization. This research shows the planning and control of special nutrition materials in an integrated manner. Demand forecasting methods have been combined with inventory management to promote systemic improvements to healthcare organization.
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    Influence of team members' characteristics on the sustainability of continuous improvement initiatives
    (2021) Tortorella, Guilherme Luz; Fogliatto, Flavio Sanson; Vergara, Alejandro Mac Cawley; Goncalves Quelhas, Osvaldo Luis; Sawhney, Rapinder
    This article aims at examining the influence of teams' characteristics on the sustainability of Continuous Improvement (CI) initiatives. To achieve that, two identical manufacturing cells undergoing CI implementation and subordinated to the same leadership were investigated through a combination of quantitative and qualitative approaches. While one team has shown a sustained and increased performance, the other could not maintain improvements and worsened its performance. As the only factor distinguishing cells is team composition, we verify which team characteristics impact on CI sustainability. Results indicate that workers' seniority in company and in team, as well as their age positively influence team behaviour regarding the sustainability of CI initiatives. Long-term sustainability of CI initiatives has been a major concern in most companies. Although previous studies have approached the subject from different and complementary perspectives, the understanding of how specific characteristics of team members may influence the sustainability of CI is still vague and imprecise.
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    Measuring the effect of Healthcare 4.0 implementation on hospitals' performance
    (2022) Tortorella, Guilherme Luz; Fogliatto, Flavio S.; Esposto, Kleber Francisco; Mac Cawley Vergara, Alejandro; Vassolo, Roberto; Tlapa Mendoza, Diego; Narayanamurthy, Gopalakrishnan
    In this study, we identify bundles of technologies and associated implementation barriers that could be viewed as part of Healthcare 4.0 (H4.0) and test their impact on performance improvement in a sample of hospitals. For that, we carried out a cross-sectional study with 181 leaders from hospitals in different countries that have already started H4.0 implementation. The collected data were analyzed using multivariate statistical techniques. Results indicate that H4.0 technologies could be organized into two different bundles according to their role within the hospital. Common barriers to H4.0 implementation were also empirically organized in two groups, following the sociotechnical systems theory. Bundles of H4.0 technologies presented a positive and significant effect on hospitals' performance. As their interaction with H4.0 barriers displayed a significant effect on performance improvement, it is important to concurrently consider H4.0 technologies and barriers. Our results allow hospital managers to anticipate potential issues in H4.0 implementation, enabling more assertive efforts to improve performance and deliver high-quality and low-cost care in the fourth industrial revolution era.
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    Modeling the impact of industry 4.0 base technologies on the development of organizational learning capabilities
    (2023) Tortorella, Guilherme Luz; Fogliatto, Flavio S.; Anzanello, Michel J.; Cawley Vergara, Alejandro Mac; Vassolo, Roberto; Garza-Reyes, Jose Arturo
    In this paper, we examine the impact of adopting Industry 4.0 (I4.0) base technologies on the development of seven learning dimensions used as proxies for organization learning capabilities. We conducted a grounded theory approach in which 129 practitioners from different manufacturing companies were surveyed, and their responses analyzed through multivariate techniques. Findings allowed us to raise a theoretical framework for explaining learning development in organizations undergoing I4.0 adoption. We identified three clusters of adopters: (i) beginners, (ii) in-transition, and (iii) advanced. We found an ascending learning trend in clusters (i) and (iii) and a stationary learning pattern in (ii). Our study advances the understanding of how learning capabilities are affected as organizations advance I4.0 adoption. Our findings also gauge expectations regarding the effects of I4.0 base technologies' adoption on learning capabilities, helping academics and practitioners anticipate potential issues and develop countermeasures accordingly.