Browsing by Author "Mac Cawley, Alejandro Francisco"

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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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    The impact of Industry 4.0 on the relationship between TPM and maintenance performance
    (EMERALD GROUP PUBLISHING LTD, 2022) Tortorella, Guilherme; Saurin, Tarcisio Abreu; Fogliatto, Flavio Sanson; Tlapa, Diego; Moyano Fuentes, Jose; Gaiardelli, Paolo; Seyedghorban, Zahra; Vassolo, Roberto; Mac Cawley, Alejandro Francisco; Sunder, Vijaya M.; Sreedharan, V. Raja; Sena, Santiago Alfredo; Forstner, Friedrich Franz
    Purpose In this paper, the authors examine the impact of Industry 4.0 (I4.0) technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance. Design/methodology/approach Data collection was carried out through a multinational survey with 318 respondents from different manufacturing companies located in 15 countries. Multivariate data techniques were applied to analyze the collected data. Diffusion of innovations theory (DIT) was the adopted theoretical lens for our research. Findings The authors' findings indicate that I4.0 technologies that aim to process information to support decision-making and action-taking directly affect maintenance performance. Technologies oriented to sensing and communicating data among machines, people, and products seem to moderate the relationship between TPM practices and maintenance performance. However, the extent of such moderation varies according to the practices involved, sometimes leading to negative effects. Originality/value With the advances of I4.0, there is an expectation that several maintenance practices and performance may be affected. Our study provides empirical evidence of these relationships, unveiling the role of I4.0 for maintenance performance improvement.