Maturity analysis of manufacturing cells

Rampasso, Izabela Simon; Anholon, Rosley; Silva, Dirceu da; Ordóñez, Robert Eduardo Cooper; Quelhas, Osvaldo Luiz Gonçalves

doi:10.1080/09537287.2019.1612108

Cited by 8 publications

(7 citation statements)

References 71 publications

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“…PLS-SEM is employed in studies when the research purpose is the extension of the present theory (Hair et al 2011). PLS-SEM has also been employed in innovative technology adoption studies (Akter et al 2017;Almuraqab 2017;Cao et al 2019;Delic and Eyers 2020;Jasimuddin et al 2017;Rampasso et al 2019). Hence, the data analysis was performed employing Smart PLS 2.0 (Ringle et al 2005).…”

Section: Pls-semmentioning

confidence: 99%

Adoption of AI-empowered industrial robots in auto component manufacturing companies

Pillai¹,

Sivathanu

Mariani

et al. 2021

Production Planning & Control

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The usage of AI-empowered Industrial Robots (InRos) is booming in the Auto Component Manufacturing Companies (ACMCs) across the globe. Based on a model leveraging the Technology, Organisation, and Environment (TOE) framework, this work examines the adoption of InRos in ACMCs in the context of an emerging economy. This research scrutinizes the adoption intention and potential use of InRos in ACMCs through a survey of 460 senior managers and owners of ACMCs in India. The findings indicate that perceived compatibility, external pressure, perceived benefits and support from vendors are critical predictors of InRos adoption intention. Interestingly, the study also reveals that IT infrastructure and government support do not influence InRos adoption intention. Furthermore, the analysis suggests that perceived cost issues negatively moderate the relationship between the adoption intention and potential use of InRos in ACMCs. This study offers a theoretical contribution as it deploys the traditional TOE framework and discovers counter-intuitively that IT resources are not a major driver of technology adoption: as such, it suggests that a more comprehensive framework than the traditional RBV should be adopted. The work provides managerial recommendations for managers, shedding light on the antecedents of adoption intention and potential use of InRos at ACMCs in a country where the adoption of InRos is in a nascent stage.

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Section: Pls-semmentioning

confidence: 99%

Adoption of AI-empowered industrial robots in auto component manufacturing companies

Pillai¹,

Sivathanu

Mariani

et al. 2021

Production Planning & Control

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“…Generally, these practices in manufacturing environment are considered the bases of lean philosophy (Bellisario and Pavlov, 2018; Rampasso et al , 2019). In this sense, the higher application of these practices in warehouses can be considered a promising result, but for a lower maturity level of lean implementation.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of lean practices in warehouses: an analysis of Brazilian reality

Pereira

Anholon

Rampasso

et al. 2020

IJPPM

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PurposeThis article aims to investigate the most applied lean warehouse practices in Brazilian warehouses.Design/methodology/approachTo perform this research, three phases were conducted: a literature review, a multiple case study, and an analysis of lean warehouses practices implementation by an engineering committee. Thus, both qualitative and quantitative approaches were used. Additionally, the study has an applied nature, with an exploratory and descriptive character.FindingsResults showed that regardless of the type of criterion used, the most implanted practices are those that do not involve investments in technology. On the other hand, practices like RFID and Cross Docking systems were not found in any of the operations, which shows numerous possibilities for improvement.Originality/valueThe main contribution of this article is to initiate a debate about the management and productivity of Brazilian warehouses, a theme still little explored by the academic community despite the importance that the logistic scenario represents for Brazil as an emerging country and leader in Latin America, participating actively in several global supply chains.

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“…The validation through PLS-SEM presented in this study was performed according to the guidelines of Ringle et al [32], Hair et al [30], Cohen [33] and Chin [34]. A similar analysis procedures was used in Rampasso et al [35].…”

Section: Methodological Proceduresmentioning

confidence: 99%

An analysis of teleworking management practices

Figueira

Costa

Ferraz

et al. 2023

WOR

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BACKGROUND: Organizational changes in the traditional work models demand studies on the management of the so called “Teleworking”. OBJECTIVE: This research aims to analyse the teleworking management practices to subside organizations and leaders to improve their performance and enhance workers quality of life. METHODS: A survey was carried out with teleworkers to obtain their perception of the analyzed factors, using the survey monkey tool. The collected data were analyzed using Partial Least Squares – Structural Equation Modeling (PLS-SEM). RESULTS: The validated model for the practices analysis is composed of the constructs: business management, physical and people infrastructure, leadership, self-esteem, and job satisfaction. Based on the analysis carried out, it is suggested that organizations establish organizational telework policies, follow government policies and provide communication and competence plans. Moreover, it is crucial providing technologies and support to them and develop people management practices in teleworking. Leaders must provide confidence, a teleworking culture, professional advancement, integration, well-being, negotiation of goals and a training plan. The teleworker’s satisfaction is due to the sustainability related to the work model and its choice defined by personal motivation, balance between personal and professional life and a sense of belonging. CONCLUSIONS: All variables observed, linked to the constructs and validated, can be considered by managers to improve human resource management and obtain better productivity results.

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Maturity analysis of manufacturing cells

Cited by 8 publications

References 71 publications

Adoption of AI-empowered industrial robots in auto component manufacturing companies

Adoption of AI-empowered industrial robots in auto component manufacturing companies

Evaluation of lean practices in warehouses: an analysis of Brazilian reality

An analysis of teleworking management practices

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