Guilherme Brittes Benitez

ORCID: 0000-0003-1222-4557
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About
Contact & Profiles
Research Areas
  • Digital Transformation in Industry
  • Quality and Supply Management
  • Business and Management Studies
  • Sustainable Supply Chain Management
  • Service and Product Innovation
  • Academic Research in Diverse Fields
  • Big Data and Business Intelligence
  • Economic and Technological Innovation
  • Environmental Sustainability in Business
  • Customer Service Quality and Loyalty
  • Consumer Retail Behavior Studies
  • Technology Assessment and Management
  • Sustainable Design and Development
  • Healthcare Operations and Scheduling Optimization
  • Innovation and Knowledge Management
  • Water Treatment and Disinfection
  • Urban Transport and Accessibility
  • Occupational Health and Safety Research
  • Facilities and Workplace Management
  • Flexible and Reconfigurable Manufacturing Systems
  • Bacterial biofilms and quorum sensing
  • Legionella and Acanthamoeba research
  • Supply Chain Resilience and Risk Management
  • Smart Cities and Technologies
  • Agricultural and Food Sciences

Pontifícia Universidade Católica do Paraná
2022-2025

Universidade Federal do Rio Grande do Sul
2017-2023

University of Rio Grande and Rio Grande Community College
2019

Universidade de Santa Cruz do Sul
2014-2015

University of California, Santa Cruz
2014

Purpose While it is known that digital transformation facilitates data flow in supply chains, its importance on green chain management (GSCM) has not been investigated concisely. This paper aims to expand the theory of GSCM by investigating interconnections between these concepts and providing an integrative view a smart (Smart GSCM). Design/methodology/approach adopts configurational perspective (SCM) investigate different dimensions Smart their contribution performance. Therefore, this...

10.1108/scm-02-2022-0059 article EN cc-by Supply Chain Management An International Journal 2022-08-19

Purpose Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these could be integrated achieve better results. Based on this, we propose collaborative networks combining associated with 4.0. Design/methodology/approach A literature review was performed using a research model support the evaluation identification of key We examined hierarchical cluster analysis principal components analysis, based...

10.1108/jmtm-04-2020-0156 article EN Journal of Manufacturing Technology Management 2020-11-10

Purpose The provision of Industry 4.0 solutions demands a vast range technology domains. To provide these solutions, small and medium-sized enterprises (SMEs) may need the support different supply chain actors through an inbound open innovation strategy. authors study contribution four types for innovation: suppliers, competitors with complementary technologies, R&D centers customers. analyze how moderate effect integrated on three main competitive strategies: cost, focalization...

10.1108/scm-07-2020-0304 article EN Supply Chain Management An International Journal 2021-02-24

Companies that want to adopt Industry 4.0 (I4.0) technologies may face difficulties evaluating the return on I4.0 investments. The complexity of implementing such and uncertainties regarding technological requirements, benefits, organizational impacts make investment decisions challenging in this context. We propose an appraisal framework for adoption based a multiple-criteria decision making (MCDM) approach. Using Innovation Diffusion Sociotechnical theories, we build with three main stages...

10.1080/09537287.2022.2035445 article EN Production Planning & Control 2022-02-14

Industry 4.0 and its technologies can potentially increase business competitiveness in the age of digital transformation through implementation technologies. These are increasingly present food industry, characterizing concept Agriculture 4.0. This is a reality; however, it unclear which most useful for each industry sector. Therefore, this paper seeks to explore current state different industrial sectors should be leveraged performance agribusiness system. To do so, we used secondary data...

10.3390/su141811779 article EN Sustainability 2022-09-19

The purpose of this study is to identify how open innovation variables influence the competitive capability manufacturing small and medium enterprises (SMEs) in a regional territory Southern Brazil. research method survey 67 SMEs Brazil that provided data for an ordinary least squares (OLS) regression model encompassing seven five competitiveness constructs. results indicate most initiatives have low impact on creating edge surveyed companies. remarkable positive impacts are (i) technology...

10.3390/joitmc6040179 article EN cc-by-nc-nd Journal of Open Innovation Technology Market and Complexity 2020-12-01

Purpose Open innovation breadth (OIB) considers the diversity of external collaboration partners for innovation. The authors investigate moderating effect OIB on relationship between industrial activities (innovation inputs) and results outputs). Design/methodology/approach This study is based secondary data from Brazilian survey, representing more than 30,000 innovative companies across 55 sectors. Findings study’s show that has different effects regarding several input–output...

10.1108/ejim-08-2020-0333 article EN European Journal of Innovation Management 2021-03-04

Purpose This research examines the impact of integrating lean manufacturing (LM) principles and Industry 4.0 (I4.0) into product development process (PDP) companies in southern Brazil, with objective improving market performance (MP). Design/methodology/approach A survey was conducted 110 managers to evaluate level LM I4.0 principles, PDP phases, improvement MP. Quantitative analysis employed analyse data, including confirmatory factor (CFA) ordinary least squares (OLS) hierarchical...

10.1108/jmtm-03-2023-0118 article EN Journal of Manufacturing Technology Management 2023-09-30

Goal: The purpose of this paper is to present an analysis Industry 4.0 concepts and technologies through the lens practitioners scholars with considerable expertise in field.
 Design / Methodology Approach: A qualitative research was conducted based on seven semi-structured interviews guided by open questionnaire, which developed main goal understanding concept that compose industrial phenomenon.
 Results: Based methodology, a cognitive map presented as result final product study....

10.14488/bjopm.2019.v16.n2.a3 article EN cc-by Brazilian Journal of Operations & Production Management 2019-05-25

Purpose While previous operations management literature acknowledges the positive influence of Lean and Industry (I4.0) on performance, recent studies examining synergy between these two factors have produced inconsistent contradictory results. Therefore, this study aims to provide a comprehensive understanding effect I4.0 firm performance. Design/methodology/approach This utilised meta-analysis approach, 23 empirical exploring multiple effects Multiple subgroup analyses were conducted...

10.1108/jmtm-10-2023-0447 article EN Journal of Manufacturing Technology Management 2024-04-09

Purpose This study aims to investigate the role of Industry 4.0 (I4.0) technologies (base and front-end) on deployment Lean bundles (just-in-time, total productive maintenance quality management) achieve operational performance. Design/methodology/approach We adopt a stakeholder perspective by considering leaders, employees customers when engaged in improvement. The objective is compare moderation mediation models address gap literature related contrasting outcomes from I4.0 firm perform...

10.1108/jmtm-07-2024-0409 article EN Journal of Manufacturing Technology Management 2025-03-11
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