Human resources and Industry 4.0: an exploratory study in the Brazilian business context

Pio, Pedro; Rampasso, Izabela Simon; Cazeri, Gustavo Tietz; Santa-Eulalia, Luís Antonio de; Serafim, Milena Pavan; Anholon, Rosley

doi:10.1108/k-04-2021-0253

Cited by 9 publications

(9 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, before the analysis of data the researcher has to have a robust theory in support of the measurement model (Bryant and Yarnold, 1995). The EFA gives the hypotheses of the construct that is a variable which is not measured directly and estimates the various factors that influence the responses on the observed variables (Pio et al ., 2021). It allows the identification and description of the hidden constructs or factors.…”

Section: Methodsmentioning

confidence: 99%

An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

Tambuskar¹,

Jain²,

Narwane

2023

View full text Add to dashboard Cite

PurposeWith big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).Design/methodology/approachThe factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).FindingsA total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.Research limitations/implicationsThis research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model.Practical implicationsThis research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project.Social implicationsThe result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society.Originality/valueThis research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.

show abstract

Section: Methodsmentioning

confidence: 99%

An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

Tambuskar¹,

Jain²,

Narwane

2023

View full text Add to dashboard Cite

show abstract

“…I4.0 represents the integration of a production system through digitalization and automation of manufacturing mechanisms and processes (RAMPASSO et al, 2019;CEZARINO et al, 2019;PIO et al, 2021;QUELHAS & SOUZA, 2020;MUMMOLO et al, 2019), and the use of technologies that seek to improve the economic performance of a company (QUELHAS et al, 2020;DURÃO et al, 2017). SILTORI et al ( 2021) characterize six principles: interoperability, virtualization, decentralization, real-time capacity, service orientation, and modularity.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Brazil in particular has three major barriers to its adoption of I4.0, the lack of understanding about the benefits of I4.0, technological infrastructure, and financial restrictions (REIS & FERNANDES, 2023). Within this field of strategic difficulties, there is the adaptation of employees to the I4.0, which is a necessary development in their training (PIO et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…For the qualification of the worker the I4.0, the HR sector must act to adapt new workers and those to be hired (PIO et al 2021;MELO et al, 2022), in this sense, undergraduate courses play a relevant role in qualifying students to work in I4.0 (RAMPASSO et al, 2019). Few companies have a human resources (HR) department to (1) Map the skills that employees need to have; (2) Establish systems that recognize talent among employees that can be trained; 6) Study the level of autonomy that will be adopted in I4.0 (PIO et al 2021).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Public Policies and Human Resources Training for Industry 4.0

Scheer Rahal Valverde,

Muniz Junior

2024

View full text Add to dashboard Cite

The term industry 4.0 (I4.0) was coined in Germany in 2011 and can be seen as the movement to digitize and automate processes in the field of manufacturing, its implementation requires a workforce with new qualifications. In this article, through a literature review, public policies for the implementation of I4.0 were analyzed in Germany, China, the United Kingdom (GB), Sweden, Japan, and Brazil, cataloging them into three themes, Employees - issues related to human Resources; Production – referring to the physical resources used in the production process; Social – relating to the creation and sharing of knowledge among workers and the effects on society in general. The research revealed that Germany, China, GB and Japan have greater similarities in their way of adopting I4.0, especially in the great focus on research, adaptation of their human resources and constant professionalization of the workforce, however China differs especially in the way of distributing it, focusing on large and centralized companies, while the others focus on a more democratic distribution, covering more regions and small and medium-sized companies. Finally, as for Brazil, despite having some initiatives in the right direction, they are few and fail to resolve the lack of understanding of the benefits of I4.0, the lack of technological infrastructure and financial restrictions.

show abstract

“…However, in some more classic areas, such as the automotive industry, their size and the economic crisis have made it difficult to implement i4.0 [16]. These adverse factors are compounded by other drawbacks, such as insufficient training of engineers at the university level, [17], the need for strengthening the relationship between business and scientific partners [18] and for improving the field of human resources [19], and even the COVID-19 pandemic [20].…”

Section: Introductionmentioning

confidence: 99%

Industry 4.0 in Latin America: Countries and Institutions with the Greatest Innovation and Global Impact

Herrero-Solana¹,

Piedra-Salomón²

2022

Preprint

View full text Add to dashboard Cite

Industry 4.0 (i4.0) is one of the fields of knowledge that is most extensively researched recently and whose definition is the most controversial, and Latin America (LatAm) is no exception. Identifying the LatAm countries and institutions with the highest degree of innovation and global impact in the i4.0 field. New citation micro-topics were used to identify the thematic domain: 4.224.1040 Industry 4.0. Difference indicators were extracted from Web of Science, Journal Citation Reports and especially Incites. Broadly speaking, the LatAm effort rate in i4.0 is high, as well as its global impact. The main countries are, in decreasing order, Brazil and Mexico. These countries show a high number of industry collaborations, and Brazil boasts many patent citations. Spain is a key partner of Mexico, Colombia, Argentina, Cuba and Ecuador. The most prominent institutions are the Monterrey Institute of Technology (Tecnológico de Monterrey) and the University of Rio Grande do Sul (Universidade Federal do Rio Grande do Sul – UFRGS). The former specializes in engineering and smart manufacturing systems and the latter in ICT (cloud computing, IoT, and big data, among others).

show abstract

Human resources and Industry 4.0: an exploratory study in the Brazilian business context

Cited by 9 publications

References 61 publications

An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

Public Policies and Human Resources Training for Industry 4.0

Industry 4.0 in Latin America: Countries and Institutions with the Greatest Innovation and Global Impact

Contact Info

Product

Resources

About