Repositório Colecção:https://hdl.handle.net/1822/143952024-03-29T02:24:40Z2024-03-29T02:24:40ZQuality 4.0 in higher education: reinventing academic-industry-government collaboration during disruptive timesWawak, SlawomirDomingues, José Pedro TeixeiraSampaio, Paulohttps://hdl.handle.net/1822/902592024-03-28T12:37:22ZTítulo: Quality 4.0 in higher education: reinventing academic-industry-government collaboration during disruptive times
Autor: Wawak, Slawomir; Domingues, José Pedro Teixeira; Sampaio, Paulo
Resumo: Purpose: This study aims to explore the conditions of successful implementation of Quality 4.0 in higher education institutions (HEIs) and the key factors affecting it, as well as the role of the Triple Helix collaborative (THC) framework in enhancing the integration of Quality 4.0 principles and Industry 4.0 technologies. Design/methodology/approach: A survey-based strategy was adopted, adopting questionnaires distributed amongst researchers chosen based on their publications related to the aforementioned fields. Findings: The successful integration of disruptive technologies, Quality 4.0 and THC in HEIs heavily relies on educators' continuous learning and professional development. Faculty members must acquire digital skills and competencies to effectively adopt disruptive technologies and implement Quality 4.0 principles in their teaching practices. HEIs should provide opportunities for faculty members to engage in ongoing training programmes, workshops and communities of practice that focus on enhancing their technological proficiencies, pedagogical strategies and collaborative skills. Originality/value: To the best of the authors' knowledge, this is the first reported study linking the concepts of Quality 4.0 and the Triple Helix of Innovation in HEIs.
<b>Tipo</b>: articleSMART-QUAL: a dashboard for quality measurement in higher education institutionsAdot, EstherAkhmedova, AnnaAlvelos, HelenaBarbosa-Pereira, SofiaBerbegal-Mirabent, JasminaCardoso, SóniaDomingues, PedroFranceschini, FiorenzoGil-Domenech, DolorsMachado, RicardoMaisano, Domenico AugustoMarimon, FredericMas-Machuca, MartaMastrogiacomo, LucaMelo, Ana I. I.Migueis, VeraRosa, Maria J. J.Sampaio, PauloTorrents, DaniXambre, Ana Raquel Reis Coutohttps://hdl.handle.net/1822/902582024-03-28T12:31:29ZTítulo: SMART-QUAL: a dashboard for quality measurement in higher education institutions
Autor: Adot, Esther; Akhmedova, Anna; Alvelos, Helena; Barbosa-Pereira, Sofia; Berbegal-Mirabent, Jasmina; Cardoso, Sónia; Domingues, Pedro; Franceschini, Fiorenzo; Gil-Domenech, Dolors; Machado, Ricardo; Maisano, Domenico Augusto; Marimon, Frederic; Mas-Machuca, Marta; Mastrogiacomo, Luca; Melo, Ana I. I.; Migueis, Vera; Rosa, Maria J. J.; Sampaio, Paulo; Torrents, Dani; Xambre, Ana Raquel Reis Couto
Resumo: PurposeThe paper aims to define a dashboard of indicators to assess the quality performance of higher education institutions (HEI). The instrument is termed SMART-QUAL.Design/methodology/approachTwo sources were used in order to explore potential indicators. In the first step, information disclosed in official websites or institutional documentation of 36 selected HEIs was analyzed. This first step also included in depth structured high managers' interviews. A total of 223 indicators emerged. In a second step, recent specialized literature was revised searching for indicators, capturing additional 302 indicators.FindingsEach one of the 525 total indicators was classified according to some attributes and distributed into 94 intermediate groups. These groups feed a debugging, prioritization and selection process, which ended up in the SMART-QUAL instrument: a set of 56 key performance indicators, which are grouped in 15 standards, and, in turn, classified into the 3 HEI missions. A basic model and an extended model are also proposed.Originality/valueThe paper provides a useful measure of quality performance of HEIs, showing a holistic view to monitor HEI quality from three fundamental missions. This instrument might assist HEI managers for both assessing and benchmarking purposes. The paper ends with recommendations for university managers and public administration authorities.
<b>Tipo</b>: articlePerformance measurement model for technical universities - case studyKucinska-Landwojtowicz, AnetaCzabak-Gorska, Izabela DagmaraLorenc, MarcinDomingues, PedroSampaio, Paulohttps://hdl.handle.net/1822/902532024-03-28T12:21:12ZTítulo: Performance measurement model for technical universities - case study
Autor: Kucinska-Landwojtowicz, Aneta; Czabak-Gorska, Izabela Dagmara; Lorenc, Marcin; Domingues, Pedro; Sampaio, Paulo
Resumo: PurposeThe main purpose of this paper is twofold: to present a proposal for a model of educational quality management system within a process approach context for technical universities, and a conceptual model of a performance measurement system (PMS) towards the assessment of the quality level of management, core and support processes.Design/methodology/approachThe paper encompasses two main parts: a theoretical portion and a case study. Within the theoretical background, the authors discuss the issue of educational quality management supported on a process approach perspective as well as performance measurement system in high education (HE). The case study reports the development of the concept of performance measurement system for technical universities.FindingsThe proposed system of educational quality management supported on a process approach, together with a conceptual model of the performance measurement system, can be implemented in every technical university. The identification of processes in the education quality management system permitted the development of the PMS. The model covers 32 key performance indicators (KPIs) for management processes, 39 for core processes and 19 for supporting ones.Research limitations/implicationsThe proposed performance measurement system is limited in its focus on educational processes and support of these processes. The evaluation of scientific and research activity and aspects related to financial resources is not pursued.Originality/valueElaboration of a conceptual model of a performance measurement system towards the assessment of the quality level of management, core and support processes is dedicated to technical universities.
<b>Tipo</b>: articlePercentile growth curves for placenta measures: a dynamic shiny applicationAlves, SamuelBraga, A. C.Cardoso, Rosete Maria Amorim Novais Nogueirahttps://hdl.handle.net/1822/902472024-03-28T20:43:36ZTítulo: Percentile growth curves for placenta measures: a dynamic shiny application
Autor: Alves, Samuel; Braga, A. C.; Cardoso, Rosete Maria Amorim Novais Nogueira
Resumo: For decades, researchers and health professionals have been using fetal and newborns measurements to evaluate its development. In recent years, there have been new studies suggesting that the placenta’s measurements and its evolutions are capable of reflecting changes in the fetus’s development and even newborn and adult diseases. Most of these analyses are done using growth curves that use linear regression methodologies such as previous studies done. To account for errors associated with this regression and use a more robust method, quantile regression is used to create the placenta’s growth curves. The dataset used for this study was collected on Portuguese CGC Genetics and involves the Portuguese parturient population from different regions. It is also an objective of this study to create a dynamic application that allows the researcher or health professional to enter placental growth values and compare them to the created growth curves to evaluate the evolution of the placenta. This application uses a CSV file with the information gathered from the placenta and is uploaded to the application which then plots the values on the created growth curves. The application also allows the user to edit the values. This application was created on Shiny and can be accessed at https://samuelalves.shinyapps.io/APP2/.
<b>Tipo</b>: conferencePaperIntegration of multi-criteria decision-making approaches adapted for quality function deployment: an analytical literature review and future research agendaHariri, AhmadDomingues, PedroSampaio, Paulohttps://hdl.handle.net/1822/902432024-03-28T11:38:10ZTítulo: Integration of multi-criteria decision-making approaches adapted for quality function deployment: an analytical literature review and future research agenda
Autor: Hariri, Ahmad; Domingues, Pedro; Sampaio, Paulo
Resumo: Purpose:-- This paper aims to classify journal papers in the context of hybrid quality function deployment QFD and multi-criteria decision-making (MCDM) methods published during 2004-2021.Design/methodology/approach-- A conceptual classification scheme is presented to analyze the hybrid QFD-MCDM methods. Then some recommendations are given to introduce directions for future research.Findings-- The results show that among all related areas, the manufacturing application has the most frequency of published papers regarding hybrid QFD-MCDM methods. Moreover, using uncertainty to establish a hybrid QFD-MCDM the relevant papers have been considered during the time interval 2004-2021.Originality/value-- There are various shortcomings in conventional QFD which limit its efficiency and potential applications. Since 2004, when MCDM methods were frequently adopted in the quality management context, increasing attention has been drawn from both practical and academic perspectives. Recently, the integration of MCDM techniques into the QFD model has played an important role in designing new products and services, supplier selection, green manufacturing systems and sustainability topics. Hence, this survey reviewed hybrid QFD-MCDM methods during 2004-2021.
<b>Tipo</b>: article