scholarly journals The Critical Factors Responsible for Fairness in Managing Employee Dismissal in Some Textile Manufacturing Industries in Nigeria

2014 ◽  
Vol 6 (2) ◽  
pp. 85-96
Author(s):  
O.S. Ofotokun ◽  
T.O. Enudu ◽  
B.A. Chukwu ◽  
J.T. Fadejin
Keyword(s):  
Manufacturing Industries ◽  
Critical Factors ◽  
Textile Manufacturing ◽  
Employee Dismissal

Critical factors for the dimensional management system (DMS) implementation in manufacturing industries

2016 ◽  
Vol 88 (1-4) ◽  
pp. 1053-1063 ◽  
Author(s):  
Augusto Yassuo Teoi ◽  
Rosley Anholon ◽  
Dirceu da Silva ◽  
Osvaldo Luiz Gonçalves Quelhas
Keyword(s):  
Management System ◽  
Manufacturing Industries ◽  
Critical Factors ◽  
Dimensional Management

scholarly journals Erratum to: Critical factors for the dimensional management system (DMS) implementation in manufacturing industries

2016 ◽  
Vol 88 (9-12) ◽  
pp. 3529-3529
Author(s):  
Augusto Yassuo Teoi ◽  
Rosley Anholon ◽  
Dirceu da Silva ◽  
Osvaldo Luiz Gonçalves Quelhas
Keyword(s):  
Management System ◽  
Manufacturing Industries ◽  
Critical Factors ◽  
Dimensional Management

An AHP based study of critical factors for TQM implementation in Shanghai manufacturing industries

Technovation ◽  
2002 ◽  
Vol 22 (11) ◽  
pp. 707-715 ◽  
Author(s):  
K.-S. Chin ◽  
K.-F. Pun ◽  
Y. Xu ◽  
J.S.F. Chan
Keyword(s):  
Manufacturing Industries ◽  
Critical Factors

Industry 4.0 adoption key factors: an empirical study on manufacturing industry

2020 ◽  
Vol 17 (5) ◽  
pp. 697-725
Author(s):  
Sanjiv Narula ◽  
Surya Prakash ◽  
Maheshwar Dwivedy ◽  
Vishal Talwar ◽  
Surendra Prasad Tiwari
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Principal Component ◽  
Manufacturing Industries ◽  
Maturity Model ◽  
Critical Factors ◽  
Key Factors ◽  
Content Type ◽  
Starting Point ◽  
Shed Light

PurposeThis research aims to outline the key factors responsible for industry 4.0 (I4.0) application in industries and establish a factor stratification model.Design/methodology/approachThis article identifies the factor pool responsible for I4.0 from the extant literature. It aims to identify the set of key factors for the I4.0 application in the manufacturing industry and validate, classify factor pool using appropriate statistical tools, for example, factor analysis, principal component analysis and item analysis.FindingsThis study would shed light on critical factors and subfactors for implementing I4.0 in manufacturing industries from the factor pool. This study would shed light on critical factors and subfactors for implementing I4.0 in manufacturing industries. Strategy, leadership and culture are found key elements of transformation in the journey of I4.0. Additionally, design and development in the digital twin, virtual testing and simulations were also important factors to consider by manufacturing firms.Research limitations/implicationsThe proposed I4.0 factor stratification model will act as a starting point while designing strategy, adopting readiness index for I4.0 and creating a roadmap for I4.0 application in manufacturing. The I4.0 factors identified and validated in this paper will act as a guide for policymakers, researchers, academicians and practitioners working on the implementation of Industry 4.0. This work establishes a solid groundwork for developing an I4.0 maturity model for manufacturing industries.Originality/valueThe existing I4.0 literature is critically examined for creating a factor pool that further presented to experts to ensure sufficient rigor and comprehensiveness, particularly checking the relevance of subfactors for the manufacturing sector. This work is an attempt to identify and validate major I4.0 factors that can impact its mass adoption that is further empirically tested for factor stratification.

scholarly journals An Analysis of Production Relations in the Large-scale Textile Manufacturing Sector of Pakistan

1989 ◽  
Vol 28 (1) ◽  
pp. 27-42 ◽  
Author(s):  
Sohail J. Malik ◽  
Mohammad Mushtaq ◽  
Hina Nazli
Keyword(s):  
Large Scale ◽  
Manufacturing Sector ◽  
Returns To Scale ◽  
Manufacturing Industries ◽  
Elasticity Of Substitution ◽  
Production Structure ◽  
Textile Manufacturing ◽  
Production Relations ◽  
Employment Generation ◽  
Constant Returns To Scale

This paper attempts to determine econometrically the underlying production relations for the large-scale textile manufacturing sector of Pakistan, based on data available from the siX most recent censuses of large-scale manufacturing industries. The cOllariance model is used for pooling the provincial data. Testing for alternative forms reveals that the CES production function with constant-returns-to-scale most adequately explains the underlying production structure. The estimates of the elasticity of substitution are significantly different from zero in all cases, implying significant and efficient employment generation possibilities.

scholarly journals Alcohol-based hand sanitisers as first line of defence against SARS-CoV-2: a review of biology, chemistry and formulations

2020 ◽  
Vol 148 ◽  
Author(s):  
D. Singh ◽  
K. Joshi ◽  
A. Samuel ◽  
J. Patra ◽  
N. Mahindroo
Keyword(s):  
Public Health ◽  
Severe Acute Respiratory Syndrome ◽  
Contact Time ◽  
Manufacturing Industries ◽  
Public Health Issue ◽  
Respiratory Protection ◽  
Global Public Health ◽  
Critical Factors ◽  
First Line ◽  
Viral Contamination

Abstract The pandemic due to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has emerged as a serious global public health issue. Since the start of the outbreak, the importance of hand-hygiene and respiratory protection to prevent the spread of the virus has been the prime focus for infection control. Health regulatory organisations have produced guidelines for the formulation of hand sanitisers to the manufacturing industries. This review summarises the studies on alcohol-based hand sanitisers and their disinfectant activity against SARS-CoV-2 and related viruses. The literature shows that the type and concentration of alcohol, formulation and nature of product, presence of excipients, applied volume, contact time and viral contamination load are critical factors that determine the effectiveness of hand sanitisers.

scholarly journals The Effect of Economic Recession in Textile Manufacturing Industries in Nigeria

2015 ◽  
Vol 7 (3) ◽  
pp. 43-54 ◽  
Author(s):  
B.A. Chukwu ◽  
N.A. Liman ◽  
Enudu T.O. ◽  
A.F. Ehiaghe
Keyword(s):  
Economic Recession ◽  
Manufacturing Industries ◽  
Textile Manufacturing

Refining our understanding of the “elephant in the room”

2020 ◽  
Vol 43 ◽  
Author(s):  
Andrew Whiten
Keyword(s):  
Social Cognition ◽  
Cultural Evolution ◽  
Cognitive Abilities ◽  
Critical Factors ◽  
Technological Culture

Abstract The authors do the field of cultural evolution a service by exploring the role of non-social cognition in human cumulative technological culture, truly neglected in comparison with socio-cognitive abilities frequently assumed to be the primary drivers. Some specifics of their delineation of the critical factors are problematic, however. I highlight recent chimpanzee–human comparative findings that should help refine such analyses.

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